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A

AbstractBottomUpParser - Class in opennlp.tools.parser
Abstract class which contains code to tag and chunk parses for bottom up parsing and leaves implementation of advancing parses and completing parses to extend class.
AbstractBottomUpParser(POSTagger, Chunker, HeadRules, int, double) - Constructor for class opennlp.tools.parser.AbstractBottomUpParser
 
AbstractContextGenerator - Class in opennlp.tools.parser
Abstract class containing many of the methods used to generate contexts for parsing.
AbstractContextGenerator() - Constructor for class opennlp.tools.parser.AbstractContextGenerator
 
AbstractConverterTool<T> - Class in opennlp.tools.cmdline
Base class for format conversion tools.
AbstractConverterTool(Class<T>) - Constructor for class opennlp.tools.cmdline.AbstractConverterTool
Constructor with type parameter.
AbstractCrossValidatorTool<T,P> - Class in opennlp.tools.cmdline
Base class for cross validator tools.
AbstractCrossValidatorTool(Class<T>, Class<P>) - Constructor for class opennlp.tools.cmdline.AbstractCrossValidatorTool
Constructor with type parameters.
AbstractDataIndexer - Class in opennlp.model
Abstract class for collecting event and context counts used in training.
AbstractDataIndexer() - Constructor for class opennlp.model.AbstractDataIndexer
 
AbstractEndOfSentenceScanner - Class in opennlp.tools.sentdetect
Deprecated.
use DefaultEndOfSentenceScanner instead
AbstractEndOfSentenceScanner() - Constructor for class opennlp.tools.sentdetect.AbstractEndOfSentenceScanner
Deprecated.
 
AbstractEvaluatorTool<T,P> - Class in opennlp.tools.cmdline
Base class for evaluator tools.
AbstractEvaluatorTool(Class<T>, Class<P>) - Constructor for class opennlp.tools.cmdline.AbstractEvaluatorTool
Constructor with type parameters.
AbstractEventStream - Class in opennlp.model
 
AbstractEventStream() - Constructor for class opennlp.model.AbstractEventStream
 
AbstractEventStream<T> - Class in opennlp.tools.util
This is a base class for EventStream classes.
AbstractEventStream(ObjectStream<T>) - Constructor for class opennlp.tools.util.AbstractEventStream
Initializes the current instance with a sample Iterator.
AbstractLinker - Class in opennlp.tools.coref
Provides a default implementation of many of the methods in Linker that most implementations of Linker will want to extend.
AbstractLinker(String, LinkerMode) - Constructor for class opennlp.tools.coref.AbstractLinker
Creates a new linker using the models in the specified project directory and using the specified mode.
AbstractLinker(String, LinkerMode, boolean) - Constructor for class opennlp.tools.coref.AbstractLinker
Creates a new linker using the models in the specified project directory, using the specified mode, and combining coreferent entities based on the specified value.
AbstractMentionFinder - Class in opennlp.tools.coref.mention
Provides default implementation of many of the methods in the MentionFinder interface.
AbstractMentionFinder() - Constructor for class opennlp.tools.coref.mention.AbstractMentionFinder
 
AbstractModel - Class in opennlp.model
 
AbstractModel(Context[], String[], IndexHashTable<String>, String[]) - Constructor for class opennlp.model.AbstractModel
 
AbstractModel(Context[], String[], String[]) - Constructor for class opennlp.model.AbstractModel
 
AbstractModel(Context[], String[], String[], int, double) - Constructor for class opennlp.model.AbstractModel
 
AbstractModel.ModelType - Enum in opennlp.model
 
AbstractModelReader - Class in opennlp.model
 
AbstractModelReader(File) - Constructor for class opennlp.model.AbstractModelReader
 
AbstractModelReader(DataReader) - Constructor for class opennlp.model.AbstractModelReader
 
AbstractModelResource<T> - Class in opennlp.uima.util
 
AbstractModelResource() - Constructor for class opennlp.uima.util.AbstractModelResource
 
AbstractModelWriter - Class in opennlp.model
 
AbstractModelWriter() - Constructor for class opennlp.model.AbstractModelWriter
 
AbstractParse - Class in opennlp.tools.coref.mention
Provides default implemenation of many of the methods in the Parse interface.
AbstractParse() - Constructor for class opennlp.tools.coref.mention.AbstractParse
 
AbstractParserEventStream - Class in opennlp.tools.parser
Abstract class extended by parser event streams which perform tagging and chunking.
AbstractParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, Dictionary) - Constructor for class opennlp.tools.parser.AbstractParserEventStream
 
AbstractParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class opennlp.tools.parser.AbstractParserEventStream
 
AbstractResolver - Class in opennlp.tools.coref.resolver
Default implementation of some methods in the Resolver interface.
AbstractResolver(int) - Constructor for class opennlp.tools.coref.resolver.AbstractResolver
 
AbstractSampleStreamFactory<T> - Class in opennlp.tools.formats
Base class for sample stream factories.
AbstractSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.AbstractSampleStreamFactory
 
AbstractSentenceDetector - Class in opennlp.uima.sentdetect
 
AbstractSentenceDetector() - Constructor for class opennlp.uima.sentdetect.AbstractSentenceDetector
 
AbstractTokenizer - Class in opennlp.uima.tokenize
 
AbstractTokenizer(String) - Constructor for class opennlp.uima.tokenize.AbstractTokenizer
 
AbstractToSentenceSampleStream<T> - Class in opennlp.tools.formats.convert
 
AbstractTrainerTool<T,P> - Class in opennlp.tools.cmdline
Base class for trainer tools.
AbstractTrainerTool(Class<T>, Class<P>) - Constructor for class opennlp.tools.cmdline.AbstractTrainerTool
Constructor with type parameters.
AbstractTypedParamTool<T,P> - Class in opennlp.tools.cmdline
Base class for tools which take additional parameters.
AbstractTypedParamTool(Class<T>, Class<P>) - Constructor for class opennlp.tools.cmdline.AbstractTypedParamTool
Constructor with type parameters.
AdaptiveFeatureGenerator - Interface in opennlp.tools.util.featuregen
An interface for generating features for name entity identification and for updating document level contexts.
ADChunkSampleStream - Class in opennlp.tools.formats.ad
Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese Chunker training.
ADChunkSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ad.ADChunkSampleStream
Creates a new NameSample stream from a line stream, i.e.
ADChunkSampleStream(InputStream, String) - Constructor for class opennlp.tools.formats.ad.ADChunkSampleStream
Creates a new NameSample stream from a InputStream
ADChunkSampleStreamFactory - Class in opennlp.tools.formats.ad
A Factory to create a Arvores Deitadas ChunkStream from the command line utility.
ADChunkSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.ad.ADChunkSampleStreamFactory
 
add(StringList) - Method in class opennlp.tools.ngram.NGramModel
Adds one NGram, if it already exists the count increase by one.
add(StringList, int, int) - Method in class opennlp.tools.ngram.NGramModel
Adds NGrams up to the specified length to the current instance.
add(String, int, int) - Method in class opennlp.tools.ngram.NGramModel
Adds character NGrams to the current instance.
add(Parse, HeadRules) - Method in class opennlp.tools.parser.Parse
 
add(E) - Method in class opennlp.tools.util.CountedSet
 
add(double) - Method in class opennlp.tools.util.eval.Mean
Adds a value to the arithmetic mean.
add(double, long) - Method in class opennlp.tools.util.eval.Mean
Adds a value count times to the arithmetic mean.
add(E) - Method in interface opennlp.tools.util.Heap
Adds the specified object to the heap.
add(E) - Method in class opennlp.tools.util.ListHeap
 
add(String, double) - Method in class opennlp.tools.util.Sequence
Adds an outcome and probability to this sequence.
add(E) - Method in class opennlp.tools.util.TreeHeap
Deprecated.
 
addAll(Collection<? extends E>) - Method in class opennlp.tools.util.CountedSet
 
addCharPreds(String, char, List<String>) - Method in class opennlp.tools.tokenize.DefaultTokenContextGenerator
Helper function for getContext.
addCutoffAndIterations(Map<String, String>, int, int) - Static method in class opennlp.tools.util.model.ModelUtil
 
addElement(ADSentenceStream.SentenceParser.TreeElement) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
 
addEntity(DiscourseEntity) - Method in class opennlp.tools.coref.DiscourseModel
Adds the specified entity to this discourse model.
addEntry(String, String) - Method in class opennlp.tools.postag.POSDictionaryWriter
Deprecated.
 
addEvent(MentionContext) - Method in class opennlp.tools.coref.resolver.DefaultNonReferentialResolver
 
addEvent(MentionContext) - Method in class opennlp.tools.coref.resolver.FixedNonReferentialResolver
 
addEvent(MentionContext) - Method in interface opennlp.tools.coref.resolver.NonReferentialResolver
Designates that the specified mention be used for training.
addFeatureGenerator(AdaptiveFeatureGenerator) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
 
addFeatureGenerator(AdaptiveFeatureGenerator) - Method in interface opennlp.tools.namefind.NameContextGenerator
Adds a feature generator to this set of feature generators.
ADDITIONAL_TRAINING_DATA_ENCODING - Static variable in class opennlp.uima.util.UimaUtil
 
ADDITIONAL_TRAINING_DATA_FILE - Static variable in class opennlp.uima.util.UimaUtil
 
additionalContext(String[], Map<String, String>) - Static method in class opennlp.tools.namefind.NameFinderEventStream
Generated previous decision features for each token based on contents of the specified map.
AdditionalContextFeatureGenerator - Class in opennlp.tools.util.featuregen
The AdditionalContextFeatureGenerator generates the context from the passed in additional context.
AdditionalContextFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
 
addMention(MentionContext) - Method in class opennlp.tools.coref.DiscourseElement
Adds the specified mention to this discourse element.
addMention(int, Span, Parse[]) - Static method in class opennlp.tools.formats.muc.MucMentionInserterStream
 
addNames(String, Span[], Parse[]) - Static method in class opennlp.tools.parser.Parse
Utility method to inserts named entities.
addNextPunctuation(Parse) - Method in class opennlp.tools.parser.Parse
Designates that the specified punctuation follows this parse.
addParseEvents(List<Event>, Parse[]) - Method in class opennlp.tools.parser.AbstractParserEventStream
Produces all events for the specified sentence chunks and adds them to the specified list.
addParseEvents(List<Event>, Parse[]) - Method in class opennlp.tools.parser.chunking.ParserEventStream
Adds events for parsing (post tagging and chunking to the specified list of events for the specified parse chunks.
addParseEvents(List<Event>, Parse[]) - Method in class opennlp.tools.parser.treeinsert.ParserEventStream
 
addPreviousPunctuation(Parse) - Method in class opennlp.tools.parser.Parse
Designates that the specified punctuation should is prior to this parse.
addProb(double) - Method in class opennlp.tools.parser.Parse
Adds the specified probability log to this current log for this parse.
adjoin(Parse, HeadRules) - Method in class opennlp.tools.parser.Parse
Sister adjoins this node's last child and the specified sister node and returns their new parent node.
adjoinRoot(Parse, HeadRules, int) - Method in class opennlp.tools.parser.Parse
 
ADNameSampleStream - Class in opennlp.tools.formats.ad
Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese NER training.
ADNameSampleStream(ObjectStream<String>, boolean) - Constructor for class opennlp.tools.formats.ad.ADNameSampleStream
Creates a new NameSample stream from a line stream, i.e.
ADNameSampleStream(InputStream, String, boolean) - Constructor for class opennlp.tools.formats.ad.ADNameSampleStream
Creates a new NameSample stream from a InputStream
ADNameSampleStreamFactory - Class in opennlp.tools.formats.ad
A Factory to create a Arvores Deitadas NameSampleDataStream from the command line utility.
ADNameSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.ad.ADNameSampleStreamFactory
 
ADPOSSampleStream - Class in opennlp.tools.formats.ad
Note: Do not use this class, internal use only!
ADPOSSampleStream(ObjectStream<String>, boolean, boolean) - Constructor for class opennlp.tools.formats.ad.ADPOSSampleStream
Creates a new POSSample stream from a line stream, i.e.
ADPOSSampleStream(InputStream, String, boolean, boolean) - Constructor for class opennlp.tools.formats.ad.ADPOSSampleStream
Creates a new POSSample stream from a InputStream
ADPOSSampleStreamFactory - Class in opennlp.tools.formats.ad
Note: Do not use this class, internal use only!
ADPOSSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.ad.ADPOSSampleStreamFactory
 
ADSentenceSampleStream - Class in opennlp.tools.formats.ad
Note: Do not use this class, internal use only!
ADSentenceSampleStream(ObjectStream<String>, boolean) - Constructor for class opennlp.tools.formats.ad.ADSentenceSampleStream
Creates a new SentenceSample stream from a line stream, i.e.
ADSentenceSampleStream(FileInputStream, String, boolean) - Constructor for class opennlp.tools.formats.ad.ADSentenceSampleStream
Creates a new SentenceSample stream from a FileInputStream
ADSentenceSampleStreamFactory - Class in opennlp.tools.formats.ad
Note: Do not use this class, internal use only!
ADSentenceSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.ad.ADSentenceSampleStreamFactory
 
adSentenceStream - Variable in class opennlp.tools.formats.ad.ADChunkSampleStream
 
ADSentenceStream - Class in opennlp.tools.formats.ad
Stream filter which merges text lines into sentences, following the Arvores Deitadas syntax.
ADSentenceStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ad.ADSentenceStream
 
ADSentenceStream.Sentence - Class in opennlp.tools.formats.ad
 
ADSentenceStream.SentenceParser - Class in opennlp.tools.formats.ad
Parses a sample of AD corpus.
ADSentenceStream.SentenceParser.Leaf - Class in opennlp.tools.formats.ad
Represents the AD leaf
ADSentenceStream.SentenceParser.Node - Class in opennlp.tools.formats.ad
Represents the AD node
ADSentenceStream.SentenceParser.TreeElement - Class in opennlp.tools.formats.ad
Represents a tree element, Node or Leaf
ADTokenSampleStreamFactory - Class in opennlp.tools.formats.ad
Note: Do not use this class, internal use only!
ADTokenSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.ad.ADTokenSampleStreamFactory
 
advanceChunks(Parse, double) - Method in class opennlp.tools.parser.AbstractBottomUpParser
Returns the top chunk sequences for the specified parse.
advanceChunks(Parse, double) - Method in class opennlp.tools.parser.treeinsert.Parser
 
advanceParses(Parse, double) - Method in class opennlp.tools.parser.AbstractBottomUpParser
Advances the specified parse and returns the an array advanced parses whose probability accounts for more than the specified amount of probability mass.
advanceParses(Parse, double) - Method in class opennlp.tools.parser.chunking.Parser
 
advanceParses(Parse, double) - Method in class opennlp.tools.parser.treeinsert.Parser
 
advanceTags(Parse) - Method in class opennlp.tools.parser.AbstractBottomUpParser
Advances the parse by assigning it POS tags and returns multiple tag sequences.
advanceTop(Parse) - Method in class opennlp.tools.parser.AbstractBottomUpParser
Adds the "TOP" node to the specified parse.
advanceTop(Parse) - Method in class opennlp.tools.parser.chunking.Parser
 
advanceTop(Parse) - Method in class opennlp.tools.parser.treeinsert.Parser
 
AggregatedFeatureGenerator - Class in opennlp.tools.util.featuregen
The AggregatedFeatureGenerator aggregates a set of AdaptiveFeatureGenerators and calls them to generate the features.
AggregatedFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
Initializes the current instance.
AggregatedFeatureGenerator(Collection<AdaptiveFeatureGenerator>) - Constructor for class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
 
algorithm(String) - Method in class opennlp.tools.util.TrainingParameters
Retrieves the training algorithm name for a given name space.
algorithm() - Method in class opennlp.tools.util.TrainingParameters
Retrieves the training algorithm name.
ALGORITHM_PARAM - Static variable in class opennlp.model.TrainUtil
 
ALGORITHM_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
 
alphaNumeric - Static variable in class opennlp.tools.tokenize.TokenizerME
Deprecated.
As of release 1.5.2, replaced by Factory.getAlphanumeric(String)
AnnotationComboIterator - Class in opennlp.uima.util
UIMA Annotation iterator combination of super- and subiterator.
AnnotationComboIterator(CAS, Type, Type) - Constructor for class opennlp.uima.util.AnnotationComboIterator
Create a new combo iterator.
AnnotationComparator - Class in opennlp.uima.util
Checks two annotations for equality.
AnnotationComparator() - Constructor for class opennlp.uima.util.AnnotationComparator
 
AnnotationIteratorPair - Class in opennlp.uima.util
A pair of a UIMA annotation and an annotation iterator.
AnnotationIteratorPair(AnnotationFS, Iterable<AnnotationFS>) - Constructor for class opennlp.uima.util.AnnotationIteratorPair
 
AnnotatorUtil - Class in opennlp.uima.util
This is a utility class for Annotators.
ArgumentParser - Class in opennlp.tools.cmdline
Parser for command line arguments.
ArgumentParser.OptionalParameter - Annotation Type in opennlp.tools.cmdline
 
ArgumentParser.ParameterDescription - Annotation Type in opennlp.tools.cmdline
 
ArrayMath - Class in opennlp.maxent.quasinewton
utility class for simple vector arithmetics.
ArrayMath() - Constructor for class opennlp.maxent.quasinewton.ArrayMath
 
artifactMap - Variable in class opennlp.tools.util.model.BaseModel
 
artifactProvider - Variable in class opennlp.tools.util.BaseToolFactory
 
ArtifactProvider - Interface in opennlp.tools.util.model
Provides access to model persisted artifacts.
ArtifactSerializer<T> - Interface in opennlp.tools.util.model
Responsible to create an artifact from an InputStream.
asSpanArray(ChunkSample) - Method in class opennlp.tools.cmdline.chunker.ChunkerDetailedFMeasureListener
 
asSpanArray(T) - Method in class opennlp.tools.cmdline.DetailedFMeasureListener
 
asSpanArray(NameSample) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderDetailedFMeasureListener
 
asStringSet() - Method in class opennlp.tools.dictionary.Dictionary
Gets this dictionary as a Set<String>.
ATTACH_DAUGHTER - Static variable in class opennlp.tools.parser.treeinsert.Parser
Outcome used when a node should be attached as a daughter to another node.
ATTACH_SISTER - Static variable in class opennlp.tools.parser.treeinsert.Parser
Outcome used when a node should be attached as a sister to another node.
AttachContextGenerator - Class in opennlp.tools.parser.treeinsert
 
AttachContextGenerator(Set<String>) - Constructor for class opennlp.tools.parser.treeinsert.AttachContextGenerator
 
attachContextGenerator - Variable in class opennlp.tools.parser.treeinsert.ParserEventStream
 
Attributes - Class in opennlp.tools.dictionary.serializer
The Attributes class stores name value pairs.
Attributes() - Constructor for class opennlp.tools.dictionary.serializer.Attributes
 

B

BagOfWordsFeatureGenerator - Class in opennlp.tools.doccat
Generates a feature for each word in a document.
BagOfWordsFeatureGenerator() - Constructor for class opennlp.tools.doccat.BagOfWordsFeatureGenerator
 
BaseModel - Class in opennlp.tools.util.model
This model is a common based which can be used by the components model classes.
BaseModel(String, String, Map<String, String>, BaseToolFactory) - Constructor for class opennlp.tools.util.model.BaseModel
Initializes the current instance.
BaseModel(String, String, Map<String, String>) - Constructor for class opennlp.tools.util.model.BaseModel
Initializes the current instance.
BaseModel(String, InputStream) - Constructor for class opennlp.tools.util.model.BaseModel
Initializes the current instance.
BaseModel(String, File) - Constructor for class opennlp.tools.util.model.BaseModel
 
BaseModel(String, URL) - Constructor for class opennlp.tools.util.model.BaseModel
 
BaseToolFactory - Class in opennlp.tools.util
Base class for all tool factories.
BaseToolFactory() - Constructor for class opennlp.tools.util.BaseToolFactory
All sub-classes should have an empty constructor
BasicCmdLineTool - Class in opennlp.tools.cmdline
A simple tool which can be executed from the command line.
BasicCmdLineTool() - Constructor for class opennlp.tools.cmdline.BasicCmdLineTool
 
BasicContextGenerator - Class in opennlp.maxent
Generate contexts for maxent decisions, assuming that the input given to the getContext() method is a String containing contextual predicates separated by spaces.
BasicContextGenerator() - Constructor for class opennlp.maxent.BasicContextGenerator
 
BasicContextGenerator(String) - Constructor for class opennlp.maxent.BasicContextGenerator
 
BasicEventStream - Class in opennlp.maxent
A object which can deliver a stream of training events assuming that each event is represented as a separated list containing all the contextual predicates, with the last item being the outcome.
BasicEventStream(DataStream, String) - Constructor for class opennlp.maxent.BasicEventStream
 
BasicEventStream(DataStream) - Constructor for class opennlp.maxent.BasicEventStream
 
BasicFormatParams - Interface in opennlp.tools.cmdline.params
Common format parameters.
BasicTrainingParams - Interface in opennlp.tools.cmdline.params
Common training parameters.
bcg - Variable in class opennlp.tools.parser.chunking.ParserEventStream
 
beam - Variable in class opennlp.tools.chunker.ChunkerME
The beam used to search for sequences of chunk tag assignments.
beam - Variable in class opennlp.tools.postag.POSTaggerME
The search object used for search multiple sequences of tags.
BEAM_SIZE_PARAMETER - Static variable in class opennlp.uima.util.UimaUtil
The beam size parameter.
BeamSearch<T> - Class in opennlp.tools.util
Performs k-best search over sequence.
BeamSearch(int, BeamSearchContextGenerator<T>, MaxentModel) - Constructor for class opennlp.tools.util.BeamSearch
Creates new search object.
BeamSearch(int, BeamSearchContextGenerator<T>, MaxentModel, int) - Constructor for class opennlp.tools.util.BeamSearch
 
BeamSearch(int, BeamSearchContextGenerator<T>, MaxentModel, SequenceValidator<T>, int) - Constructor for class opennlp.tools.util.BeamSearch
 
BeamSearchContextGenerator<T> - Interface in opennlp.tools.util
Interface for context generators used with a sequence beam search.
bestSequence(T[], Object[]) - Method in class opennlp.tools.util.BeamSearch
Returns the best sequence of outcomes based on model for this object.
bestSequences(int, T[], Object[]) - Method in class opennlp.tools.util.BeamSearch
 
bestSequences(int, T[], Object[], double) - Method in class opennlp.tools.util.BeamSearch
Returns the best sequence of outcomes based on model for this object.
BigramNameFeatureGenerator - Class in opennlp.tools.util.featuregen
 
BigramNameFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.BigramNameFeatureGenerator
 
BinaryFileDataReader - Class in opennlp.model
 
BinaryFileDataReader(File) - Constructor for class opennlp.model.BinaryFileDataReader
 
BinaryFileDataReader(InputStream) - Constructor for class opennlp.model.BinaryFileDataReader
 
BinaryFileDataReader(DataInputStream) - Constructor for class opennlp.model.BinaryFileDataReader
 
BinaryGISModelReader - Class in opennlp.maxent.io
A reader for GIS models stored in binary format.
BinaryGISModelReader(DataInputStream) - Constructor for class opennlp.maxent.io.BinaryGISModelReader
Constructor which directly instantiates the DataInputStream containing the model contents.
BinaryGISModelWriter - Class in opennlp.maxent.io
Model writer that saves models in binary format.
BinaryGISModelWriter(AbstractModel, File) - Constructor for class opennlp.maxent.io.BinaryGISModelWriter
Constructor which takes a GISModel and a File and prepares itself to write the model to that file.
BinaryGISModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.maxent.io.BinaryGISModelWriter
Constructor which takes a GISModel and a DataOutputStream and prepares itself to write the model to that stream.
BinaryPerceptronModelReader - Class in opennlp.perceptron
 
BinaryPerceptronModelReader(DataInputStream) - Constructor for class opennlp.perceptron.BinaryPerceptronModelReader
Constructor which directly instantiates the DataInputStream containing the model contents.
BinaryPerceptronModelReader(File) - Constructor for class opennlp.perceptron.BinaryPerceptronModelReader
Constructor which takes a File and creates a reader for it.
BinaryPerceptronModelWriter - Class in opennlp.perceptron
Model writer that saves models in binary format.
BinaryPerceptronModelWriter(AbstractModel, File) - Constructor for class opennlp.perceptron.BinaryPerceptronModelWriter
Constructor which takes a GISModel and a File and prepares itself to write the model to that file.
BinaryPerceptronModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.perceptron.BinaryPerceptronModelWriter
Constructor which takes a GISModel and a DataOutputStream and prepares itself to write the model to that stream.
BinaryQNModelReader - Class in opennlp.maxent.io
A reader for quasi-newton models stored in binary format.
BinaryQNModelReader(DataInputStream) - Constructor for class opennlp.maxent.io.BinaryQNModelReader
Constructor which directly instantiates the DataInputStream containing the model contents.
BinaryQNModelWriter - Class in opennlp.maxent.io
 
BinaryQNModelWriter(AbstractModel, File) - Constructor for class opennlp.maxent.io.BinaryQNModelWriter
Constructor which takes a GISModel and a File and prepares itself to write the model to that file.
BinaryQNModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.maxent.io.BinaryQNModelWriter
Constructor which takes a GISModel and a DataOutputStream and prepares itself to write the model to that stream.
BinToAscii - Class in opennlp.maxent
A program to convert from java binary doubles to ascii
BinToAscii() - Constructor for class opennlp.maxent.BinToAscii
 
BinToAscii - Class in opennlp.maxent.io
A program to convert from java binary doubles to ascii.
BinToAscii() - Constructor for class opennlp.maxent.io.BinToAscii
 
BioNLP2004NameSampleStream - Class in opennlp.tools.formats
Parser for the training files of the BioNLP/NLPBA 2004 shared task.
BioNLP2004NameSampleStream(InputStream, int) - Constructor for class opennlp.tools.formats.BioNLP2004NameSampleStream
 
BioNLP2004NameSampleStreamFactory - Class in opennlp.tools.formats
 
BioNLP2004NameSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.BioNLP2004NameSampleStreamFactory
 
BRACKET_LCB - Static variable in class opennlp.tools.parser.Parse
 
BRACKET_LRB - Static variable in class opennlp.tools.parser.Parse
 
BRACKET_RCB - Static variable in class opennlp.tools.parser.Parse
 
BRACKET_RRB - Static variable in class opennlp.tools.parser.Parse
 
buf - Variable in class opennlp.tools.sentdetect.DefaultSDContextGenerator
String buffer for generating features.
BuildContextGenerator - Class in opennlp.tools.parser.chunking
Class to generator predictive contexts for deciding how constituents should be combined together.
BuildContextGenerator() - Constructor for class opennlp.tools.parser.chunking.BuildContextGenerator
Creates a new context generator for making decisions about combining constitients togehter.
BuildContextGenerator(Dictionary) - Constructor for class opennlp.tools.parser.chunking.BuildContextGenerator
 
BuildContextGenerator - Class in opennlp.tools.parser.treeinsert
Creates the features or contexts for the building phase of parsing.
BuildContextGenerator() - Constructor for class opennlp.tools.parser.treeinsert.BuildContextGenerator
 
buildContextGenerator - Variable in class opennlp.tools.parser.treeinsert.ParserEventStream
 
buildDictionary(ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.AbstractBottomUpParser
Creates a n-gram dictionary from the specified data stream using the specified head rule and specified cut-off.
buildDictionary(ObjectStream<Parse>, HeadRules, int) - Static method in class opennlp.tools.parser.AbstractBottomUpParser
Creates a n-gram dictionary from the specified data stream using the specified head rule and specified cut-off.
BuildModelUpdaterTool - Class in opennlp.tools.cmdline.parser
 
BuildModelUpdaterTool() - Constructor for class opennlp.tools.cmdline.parser.BuildModelUpdaterTool
 
buildNGramDictionary(ObjectStream<POSSample>, int) - Static method in class opennlp.tools.postag.POSTaggerME
 
BUILT - Static variable in class opennlp.tools.parser.treeinsert.Parser
Label used to distinguish build nodes from non-built nodes.

C

Cache - Class in opennlp.tools.util
Provides fixed size, pre-allocated, least recently used replacement cache.
Cache(int) - Constructor for class opennlp.tools.util.Cache
Creates a new cache of the specified size.
CachedFeatureGenerator - Class in opennlp.tools.util.featuregen
Caches features of the aggregated AdaptiveFeatureGenerators.
CachedFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.CachedFeatureGenerator
 
calculateHashSum() - Method in class opennlp.model.HashSumEventStream
Calculates the hash sum of the stream.
calculateHashSum() - Method in class opennlp.tools.util.HashSumEventStream
Deprecated.
Calculates the hash sum of the stream.
canResolve(MentionContext) - Method in class opennlp.tools.coref.resolver.CommonNounResolver
 
canResolve(MentionContext) - Method in class opennlp.tools.coref.resolver.DefiniteNounResolver
 
canResolve(MentionContext) - Method in class opennlp.tools.coref.resolver.IsAResolver
 
canResolve(MentionContext) - Method in class opennlp.tools.coref.resolver.PerfectResolver
 
canResolve(MentionContext) - Method in class opennlp.tools.coref.resolver.PluralNounResolver
 
canResolve(MentionContext) - Method in class opennlp.tools.coref.resolver.PluralPronounResolver
 
canResolve(MentionContext) - Method in class opennlp.tools.coref.resolver.ProperNounResolver
 
canResolve(MentionContext) - Method in interface opennlp.tools.coref.resolver.Resolver
Returns true if this resolver is able to resolve the referring expression of the same type as the specified mention.
canResolve(MentionContext) - Method in class opennlp.tools.coref.resolver.SingularPronounResolver
 
canResolve(MentionContext) - Method in class opennlp.tools.coref.resolver.SpeechPronounResolver
 
CasConsumerUtil - Class in opennlp.uima.util
This is a util class for cas consumer.
categorize(String[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer
Categorizes the given text.
categorize(String) - Method in interface opennlp.tools.doccat.DocumentCategorizer
 
categorize(String[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
Categorizes the given text.
categorize(String) - Method in class opennlp.tools.doccat.DocumentCategorizerME
Categorizes the given text.
CensusDictionaryCreatorTool - Class in opennlp.tools.cmdline.namefind
This tool helps create a loadable dictionary for the NameFinder, from data collected from US Census data.
CensusDictionaryCreatorTool() - Constructor for class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
 
cg - Variable in class opennlp.tools.util.BeamSearch
 
CharacterNgramFeatureGenerator - Class in opennlp.tools.util.featuregen
The CharacterNgramFeatureGenerator uses character ngrams to generate features about each token.
CharacterNgramFeatureGenerator(int, int) - Constructor for class opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator
 
CharacterNgramFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator
Initializes the current instance with min 2 length and max 5 length of ngrams.
characters(CharSequence) - Method in class opennlp.tools.formats.muc.MucNameContentHandler
 
characters(CharSequence) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler
 
checkArtifactMap() - Method in class opennlp.tools.util.model.BaseModel
Checks the artifact map.
checkcons(Parse, String, String, List<String>) - Method in class opennlp.tools.parser.AbstractContextGenerator
Produces features to determine whether the specified child node is part of a complete constituent of the specified type and adds those features to the specfied list.
checkcons(Parse, Parse, String, List<String>) - Method in class opennlp.tools.parser.AbstractContextGenerator
 
CheckContextGenerator - Class in opennlp.tools.parser.chunking
Class for generating predictive context for deciding when a constituent is complete.
CheckContextGenerator() - Constructor for class opennlp.tools.parser.chunking.CheckContextGenerator
Creates a new context generator for generating predictive context for deciding when a constituent is complete.
CheckContextGenerator - Class in opennlp.tools.parser.treeinsert
 
CheckContextGenerator(Set<String>) - Constructor for class opennlp.tools.parser.treeinsert.CheckContextGenerator
 
checkContextGenerator - Variable in class opennlp.tools.parser.treeinsert.ParserEventStream
 
checkFeatureType(Feature, String) - Static method in class opennlp.uima.util.CasConsumerUtil
Checks if the given feature has the expected type otherwise an exception is thrown.
checkForMerges(DiscourseModel, DiscourseEntity[]) - Method in class opennlp.tools.coref.AbstractLinker
 
checkInputFile(String, File) - Static method in class opennlp.tools.cmdline.CmdLineUtil
Check that the given input file is valid.
checkLanguageCode(String) - Static method in class opennlp.tools.cmdline.CmdLineUtil
 
checkModelType() - Method in class opennlp.maxent.io.GISModelReader
 
checkModelType() - Method in class opennlp.maxent.io.QNModelReader
 
checkModelType() - Method in class opennlp.model.AbstractModelReader
 
checkModelType() - Method in class opennlp.model.GenericModelReader
 
checkModelType() - Method in class opennlp.perceptron.PerceptronModelReader
 
CheckModelUpdaterTool - Class in opennlp.tools.cmdline.parser
 
CheckModelUpdaterTool() - Constructor for class opennlp.tools.cmdline.parser.CheckModelUpdaterTool
 
checkOutputFile(String, File) - Static method in class opennlp.tools.cmdline.CmdLineUtil
Tries to ensure that it is possible to write to an output file.
CHILDREN_FEATURE_PARAMETER - Static variable in class opennlp.uima.parser.Parser
 
chunk(List<String>, List<String>) - Method in interface opennlp.tools.chunker.Chunker
Deprecated.
chunk(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker
Generates chunk tags for the given sequence returning the result in an array.
chunk(List<String>, List<String>) - Method in class opennlp.tools.chunker.ChunkerME
Deprecated.
chunk(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME
 
CHUNK_TAG_FEATURE_PARAMETER - Static variable in class opennlp.uima.chunker.Chunker
The chunk tag feature parameter
CHUNK_TYPE_PARAMETER - Static variable in class opennlp.uima.chunker.Chunker
The chunk type parameter.
chunkAsSpans(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker
Generates tagged chunk spans for the given sequence returning the result in a span array.
chunkAsSpans(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME
 
ChunkContextGenerator - Class in opennlp.tools.parser
Creates predivtive context for the pre-chunking phases of parsing.
ChunkContextGenerator() - Constructor for class opennlp.tools.parser.ChunkContextGenerator
 
ChunkContextGenerator(int) - Constructor for class opennlp.tools.parser.ChunkContextGenerator
 
Chunker - Interface in opennlp.tools.chunker
The interface for chunkers which provide chunk tags for a sequence of tokens.
chunker - Variable in class opennlp.tools.parser.AbstractBottomUpParser
The chunker that the parser uses to chunk non-recursive structures.
Chunker - Class in opennlp.uima.chunker
OpenNLP Chunker annotator.
Chunker() - Constructor for class opennlp.uima.chunker.Chunker
Initializes a new instance.
ChunkerContextGenerator - Interface in opennlp.tools.chunker
Interface for the context generator used in syntactic chunking.
ChunkerConverterTool - Class in opennlp.tools.cmdline.chunker
Tool to convert multiple data formats into native OpenNLP chunker training format.
ChunkerConverterTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerConverterTool
 
ChunkerCrossValidator - Class in opennlp.tools.chunker
 
ChunkerCrossValidator(String, int, int) - Constructor for class opennlp.tools.chunker.ChunkerCrossValidator
ChunkerCrossValidator(String, TrainingParameters, ChunkerEvaluationMonitor...) - Constructor for class opennlp.tools.chunker.ChunkerCrossValidator
ChunkerCrossValidator(String, TrainingParameters, ChunkerFactory, ChunkerEvaluationMonitor...) - Constructor for class opennlp.tools.chunker.ChunkerCrossValidator
 
ChunkerCrossValidatorTool - Class in opennlp.tools.cmdline.chunker
 
ChunkerCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool
 
ChunkerDetailedFMeasureListener - Class in opennlp.tools.cmdline.chunker
 
ChunkerDetailedFMeasureListener() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerDetailedFMeasureListener
 
ChunkerEvaluationMonitor - Interface in opennlp.tools.chunker
 
ChunkerEvaluator - Class in opennlp.tools.chunker
The ChunkerEvaluator measures the performance of the given Chunker with the provided reference ChunkSamples.
ChunkerEvaluator(Chunker, ChunkerEvaluationMonitor...) - Constructor for class opennlp.tools.chunker.ChunkerEvaluator
Initializes the current instance with the given Chunker.
ChunkerEvaluatorTool - Class in opennlp.tools.cmdline.chunker
 
ChunkerEvaluatorTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool
 
ChunkerEventStream - Class in opennlp.tools.chunker
Class for creating an event stream out of data files for training a chunker.
ChunkerEventStream(ObjectStream<ChunkSample>, ChunkerContextGenerator) - Constructor for class opennlp.tools.chunker.ChunkerEventStream
Creates a new event stream based on the specified data stream using the specified context generator.
ChunkerEventStream(ObjectStream<ChunkSample>) - Constructor for class opennlp.tools.chunker.ChunkerEventStream
ChunkerFactory - Class in opennlp.tools.chunker
 
ChunkerFactory() - Constructor for class opennlp.tools.chunker.ChunkerFactory
Creates a ChunkerFactory that provides the default implementation of the resources.
ChunkerME - Class in opennlp.tools.chunker
The class represents a maximum-entropy-based chunker.
ChunkerME(ChunkerModel, int, SequenceValidator<String>, ChunkerContextGenerator) - Constructor for class opennlp.tools.chunker.ChunkerME
Deprecated.
ChunkerME(ChunkerModel, int, SequenceValidator<String>) - Constructor for class opennlp.tools.chunker.ChunkerME
Deprecated.
ChunkerME(ChunkerModel, int) - Constructor for class opennlp.tools.chunker.ChunkerME
Initializes the current instance with the specified model and the specified beam size.
ChunkerME(ChunkerModel) - Constructor for class opennlp.tools.chunker.ChunkerME
Initializes the current instance with the specified model.
ChunkerME(MaxentModel) - Constructor for class opennlp.tools.chunker.ChunkerME
Deprecated.
ChunkerME(MaxentModel, ChunkerContextGenerator) - Constructor for class opennlp.tools.chunker.ChunkerME
Deprecated.
ChunkerME(MaxentModel, ChunkerContextGenerator, int) - Constructor for class opennlp.tools.chunker.ChunkerME
Deprecated.
ChunkerMETool - Class in opennlp.tools.cmdline.chunker
 
ChunkerMETool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerMETool
 
ChunkerModel - Class in opennlp.tools.chunker
The ChunkerModel is the model used by a learnable Chunker.
ChunkerModel(String, AbstractModel, Map<String, String>) - Constructor for class opennlp.tools.chunker.ChunkerModel
ChunkerModel(String, AbstractModel, Map<String, String>, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel
 
ChunkerModel(String, AbstractModel) - Constructor for class opennlp.tools.chunker.ChunkerModel
Deprecated.
ChunkerModel(String, AbstractModel, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel
 
ChunkerModel(InputStream) - Constructor for class opennlp.tools.chunker.ChunkerModel
 
ChunkerModel(File) - Constructor for class opennlp.tools.chunker.ChunkerModel
 
ChunkerModel(URL) - Constructor for class opennlp.tools.chunker.ChunkerModel
 
ChunkerModelLoader - Class in opennlp.tools.cmdline.chunker
Loads a Chunker Model for the command line tools.
ChunkerModelLoader() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerModelLoader
 
ChunkerModelResource - Interface in opennlp.uima.chunker
 
ChunkerModelResourceImpl - Class in opennlp.uima.chunker
 
ChunkerModelResourceImpl() - Constructor for class opennlp.uima.chunker.ChunkerModelResourceImpl
 
ChunkerSampleStreamFactory - Class in opennlp.tools.formats
Factory producing OpenNLP ChunkSampleStreams.
ChunkerSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.ChunkerSampleStreamFactory
 
ChunkerTrainer - Class in opennlp.uima.chunker
OpenNLP Chunker trainer.
ChunkerTrainer() - Constructor for class opennlp.uima.chunker.ChunkerTrainer
 
ChunkerTrainerTool - Class in opennlp.tools.cmdline.chunker
 
ChunkerTrainerTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerTrainerTool
 
ChunkEvaluationErrorListener - Class in opennlp.tools.cmdline.chunker
A default implementation of EvaluationMonitor that prints to an output stream.
ChunkEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener
Creates a listener that will print to System.err
ChunkEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener
Creates a listener that will print to a given OutputStream
ChunkSample - Class in opennlp.tools.chunker
Class for holding chunks for a single unit of text.
ChunkSample(String[], String[], String[]) - Constructor for class opennlp.tools.chunker.ChunkSample
Initializes the current instance.
ChunkSample(List<String>, List<String>, List<String>) - Constructor for class opennlp.tools.chunker.ChunkSample
Initializes the current instance.
ChunkSampleStream - Class in opennlp.tools.chunker
Parses the conll 2000 shared task shallow parser training data.
ChunkSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.chunker.ChunkSampleStream
Initializes the current instance.
ChunkSampleStream - Class in opennlp.tools.parser
 
ChunkSampleStream(ObjectStream<Parse>) - Constructor for class opennlp.tools.parser.ChunkSampleStream
 
ClassSerializer - Class in opennlp.tools.util.model
Deprecated.
ClassSerializer() - Constructor for class opennlp.tools.util.model.ClassSerializer
Deprecated.
 
clear() - Method in class opennlp.tools.coref.DiscourseModel
Removes all elements from this discourse model.
clear() - Method in class opennlp.tools.util.Cache
 
clear() - Method in class opennlp.tools.util.CountedSet
 
clear() - Method in interface opennlp.tools.util.Heap
Clears the contents of the heap.
clear() - Method in class opennlp.tools.util.ListHeap
 
clear() - Method in class opennlp.tools.util.TreeHeap
Deprecated.
 
clearAdaptiveData() - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
 
clearAdaptiveData() - Method in class opennlp.tools.namefind.DictionaryNameFinder
 
clearAdaptiveData() - Method in interface opennlp.tools.namefind.NameContextGenerator
Informs all the feature generators for a name finder that the context of the adaptive data (typically a document) is no longer valid.
clearAdaptiveData() - Method in class opennlp.tools.namefind.NameFinderME
Forgets all adaptive data which was collected during previous calls to one of the find methods.
clearAdaptiveData() - Method in class opennlp.tools.namefind.RegexNameFinder
 
clearAdaptiveData() - Method in interface opennlp.tools.namefind.TokenNameFinder
Forgets all adaptive data which was collected during previous calls to one of the find methods.
clearAdaptiveData() - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator
Informs the feature generator that the context of the adaptive data (typically a document) is no longer valid.
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
 
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.FeatureGeneratorAdapter
 
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator
Clears the previous map.
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
 
CLI - Class in opennlp.tools.cmdline
 
CLI() - Constructor for class opennlp.tools.cmdline.CLI
 
clone() - Method in class opennlp.tools.parser.Parse
 
clone(Parse) - Method in class opennlp.tools.parser.Parse
Clones the right frontier of parse up to the specified node.
cloneRoot(Parse, int) - Method in class opennlp.tools.parser.Parse
Clones the right frontier of this root parse up to and including the specified node.
close() - Method in class opennlp.maxent.io.BinaryGISModelWriter
 
close() - Method in class opennlp.maxent.io.BinaryQNModelWriter
 
close() - Method in class opennlp.maxent.io.ObjectGISModelWriter
 
close() - Method in class opennlp.maxent.io.ObjectQNModelWriter
 
close() - Method in class opennlp.maxent.io.PlainTextGISModelWriter
 
close() - Method in class opennlp.maxent.io.SuffixSensitiveGISModelWriter
 
close() - Method in class opennlp.model.AbstractModelWriter
 
close() - Method in class opennlp.model.FileEventStream
 
close() - Method in class opennlp.model.GenericModelWriter
 
close() - Method in class opennlp.perceptron.BinaryPerceptronModelWriter
 
close() - Method in class opennlp.perceptron.PlainTextPerceptronModelWriter
 
close() - Method in class opennlp.perceptron.SuffixSensitivePerceptronModelWriter
 
close() - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
 
close() - Method in class opennlp.tools.formats.ad.ADNameSampleStream
 
close() - Method in class opennlp.tools.formats.ad.ADPOSSampleStream
 
close() - Method in class opennlp.tools.formats.ad.ADSentenceSampleStream
 
close() - Method in class opennlp.tools.formats.BioNLP2004NameSampleStream
 
close() - Method in class opennlp.tools.formats.Conll02NameSampleStream
 
close() - Method in class opennlp.tools.formats.Conll03NameSampleStream
 
close() - Method in class opennlp.tools.formats.DirectorySampleStream
 
close() - Method in class opennlp.tools.formats.NameFinderCensus90NameStream
 
close() - Method in class opennlp.tools.tokenize.TokenizerStream
 
close() - Method in class opennlp.tools.util.CollectionObjectStream
 
close() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
 
close() - Method in class opennlp.tools.util.FilterObjectStream
 
close() - Method in class opennlp.tools.util.model.UncloseableInputStream
This method does not has any effect the InputStream cannot be closed.
close() - Method in interface opennlp.tools.util.ObjectStream
Closes the ObjectStream and releases all allocated resources.
close() - Method in class opennlp.tools.util.PlainTextByLineStream
 
CMD - Static variable in class opennlp.tools.cmdline.CLI
 
CmdLineTool - Class in opennlp.tools.cmdline
Base class for all command line tools.
CmdLineTool() - Constructor for class opennlp.tools.cmdline.CmdLineTool
 
CmdLineUtil - Class in opennlp.tools.cmdline
Util class for the command line interface.
collapsePunctuation(Parse[], Set<String>) - Static method in class opennlp.tools.parser.AbstractBottomUpParser
Removes the punctuation from the specified set of chunks, adds it to the parses adjacent to the punctuation is specified, and returns a new array of parses with the punctuation removed.
collectCoordinatedNounPhrases - Variable in class opennlp.tools.coref.mention.AbstractMentionFinder
 
collectFeats - Variable in class opennlp.tools.sentdetect.DefaultSDContextGenerator
List for holding features as they are generated.
collectFeatures(String, String, String, String) - Method in class opennlp.tools.sentdetect.DefaultSDContextGenerator
collectFeatures(String, String, String, String, Character) - Method in class opennlp.tools.sentdetect.DefaultSDContextGenerator
Determines some of the features for the sentence detector and adds them to list features.
collectFeatures(String, String, String, String) - Method in class opennlp.tools.sentdetect.lang.th.SentenceContextGenerator
 
CollectionEventStream - Class in opennlp.tools.util
Creates an event stream out of a collection of events.
CollectionEventStream(Collection<Event>) - Constructor for class opennlp.tools.util.CollectionEventStream
 
CollectionObjectStream<E> - Class in opennlp.tools.util
 
CollectionObjectStream(Collection<E>) - Constructor for class opennlp.tools.util.CollectionObjectStream
 
collectionProcessComplete(ProcessTrace) - Method in class opennlp.uima.chunker.ChunkerTrainer
Called if the processing is finished, this method does the training.
collectionProcessComplete(ProcessTrace) - Method in class opennlp.uima.doccat.DocumentCategorizerTrainer
 
collectionProcessComplete(ProcessTrace) - Method in class opennlp.uima.namefind.NameFinderTrainer
Called if the processing is finished, this method does the training.
collectionProcessComplete(ProcessTrace) - Method in class opennlp.uima.postag.POSTaggerTrainer
Called if the processing is finished, this method does the training.
collectionProcessComplete(ProcessTrace) - Method in class opennlp.uima.sentdetect.SentenceDetectorTrainer
Called if the processing is finished, this method does the training.
collectionProcessComplete(ProcessTrace) - Method in class opennlp.uima.tokenize.TokenizerTrainer
Called if the processing is finished, this method does the training.
collectPrenominalNamedEntities - Variable in class opennlp.tools.coref.mention.AbstractMentionFinder
 
COMBINED_NPS - Static variable in interface opennlp.tools.coref.Linker
String constant used to label a mention which consists of two or more noun phrases.
CommonNounResolver - Class in opennlp.tools.coref.resolver
Resolves coreference between common nouns.
CommonNounResolver(String, ResolverMode) - Constructor for class opennlp.tools.coref.resolver.CommonNounResolver
 
CommonNounResolver(String, ResolverMode, NonReferentialResolver) - Constructor for class opennlp.tools.coref.resolver.CommonNounResolver
 
ComparableEvent - Class in opennlp.model
A maxent event representation which we can use to sort based on the predicates indexes contained in the events.
ComparableEvent(int, int[], float[]) - Constructor for class opennlp.model.ComparableEvent
 
ComparableEvent(int, int[]) - Constructor for class opennlp.model.ComparableEvent
 
ComparablePredicate - Class in opennlp.model
A maxent predicate representation which we can use to sort based on the outcomes.
ComparablePredicate(String, int[], double[]) - Constructor for class opennlp.model.ComparablePredicate
 
compare(AnnotationFS, AnnotationFS) - Method in class opennlp.uima.util.AnnotationComparator
Compares the begin indexes of the annotations.
compareTo(DoubleStringPair) - Method in class opennlp.maxent.DoubleStringPair
 
compareTo(ComparableEvent) - Method in class opennlp.model.ComparableEvent
 
compareTo(ComparablePredicate) - Method in class opennlp.model.ComparablePredicate
 
compareTo(Parse) - Method in class opennlp.tools.coref.mention.DefaultParse
 
compareTo(Mention) - Method in class opennlp.tools.coref.mention.Mention
 
compareTo(Parse) - Method in class opennlp.tools.parser.Parse
 
compareTo(Sequence) - Method in class opennlp.tools.util.Sequence
 
compareTo(Span) - Method in class opennlp.tools.util.Span
Compares the specified span to the current span.
compareToIgnoreCase(StringList) - Method in class opennlp.tools.util.StringList
Compares to tokens list and ignores the case of the tokens.
COMPATIBLE - Static variable in class opennlp.tools.coref.sim.SemanticEnum
Semantically compatible.
compatible(Context, Context) - Method in class opennlp.tools.coref.sim.SimilarityModel
Returns a number between 0 and 1 which represents the models belief that the specified mentions are compatible.
compatible(Context, Context) - Method in interface opennlp.tools.coref.sim.TestSimilarityModel
 
COMPLETE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
Outcome used when a constituent is complete.
complete() - Method in class opennlp.tools.parser.Parse
Returns whether this parse is complete.
completeParses - Variable in class opennlp.tools.parser.AbstractBottomUpParser
Completed parses.
compressOutcomes(ComparablePredicate[]) - Method in class opennlp.maxent.io.GISModelWriter
 
computeGender(MentionContext) - Method in class opennlp.tools.coref.AbstractLinker
 
computeGender(MentionContext) - Method in class opennlp.tools.coref.DefaultLinker
 
computeGender(Context) - Method in class opennlp.tools.coref.sim.MaxentCompatibilityModel
 
computeNumber(MentionContext) - Method in class opennlp.tools.coref.AbstractLinker
 
computeNumber(MentionContext) - Method in class opennlp.tools.coref.DefaultLinker
 
computeNumber(Context) - Method in class opennlp.tools.coref.sim.MaxentCompatibilityModel
 
computeOutcomePatterns(ComparablePredicate[]) - Method in class opennlp.perceptron.PerceptronModelWriter
 
Conll02NameSampleStream - Class in opennlp.tools.formats
Parser for the dutch and spanish ner training files of the CONLL 2002 shared task.
Conll02NameSampleStream(Conll02NameSampleStream.LANGUAGE, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.Conll02NameSampleStream
 
Conll02NameSampleStream(Conll02NameSampleStream.LANGUAGE, InputStream, int) - Constructor for class opennlp.tools.formats.Conll02NameSampleStream
 
Conll02NameSampleStream.LANGUAGE - Enum in opennlp.tools.formats
 
Conll02NameSampleStreamFactory - Class in opennlp.tools.formats
Note: Do not use this class, internal use only!
Conll02NameSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.Conll02NameSampleStreamFactory
 
Conll03NameSampleStream - Class in opennlp.tools.formats
An import stream which can parse the CONLL03 data.
Conll03NameSampleStream(Conll03NameSampleStream.LANGUAGE, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.Conll03NameSampleStream
 
Conll03NameSampleStream(Conll03NameSampleStream.LANGUAGE, InputStream, int) - Constructor for class opennlp.tools.formats.Conll03NameSampleStream
 
Conll03NameSampleStream.LANGUAGE - Enum in opennlp.tools.formats
 
Conll03NameSampleStreamFactory - Class in opennlp.tools.formats
 
Conll03NameSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.Conll03NameSampleStreamFactory
 
CONLLX_FORMAT - Static variable in class opennlp.tools.formats.ConllXPOSSampleStreamFactory
 
ConllXPOSSampleStream - Class in opennlp.tools.formats
Parses the data from the CONLL 06 shared task into POS Samples.
ConllXPOSSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ConllXPOSSampleStream
 
ConllXPOSSampleStreamFactory - Class in opennlp.tools.formats
Note: Do not use this class, internal use only!
ConllXPOSSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.ConllXPOSSampleStreamFactory
 
ConllXSentenceSampleStreamFactory - Class in opennlp.tools.formats
Note: Do not use this class, internal use only!
ConllXSentenceSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.ConllXSentenceSampleStreamFactory
 
ConllXTokenSampleStreamFactory - Class in opennlp.tools.formats
Note: Do not use this class, internal use only!
ConllXTokenSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.ConllXTokenSampleStreamFactory
 
cons(Parse, int) - Method in class opennlp.tools.parser.AbstractContextGenerator
 
Cons - Class in opennlp.tools.parser
Class to hold feature information about a specific parse node.
Cons(String, String, int, boolean) - Constructor for class opennlp.tools.parser.Cons
 
cons2(List<String>, Cons, Cons, Collection<Parse>, boolean) - Method in class opennlp.tools.parser.AbstractContextGenerator
 
cons3(List<String>, Cons, Cons, Cons, Collection<Parse>, Collection<Parse>, boolean, boolean, boolean) - Method in class opennlp.tools.parser.AbstractContextGenerator
Creates cons features involving the 3 specified nodes and adds them to the specified feature list.
consbo(Parse, int) - Method in class opennlp.tools.parser.AbstractContextGenerator
 
ConstitParseSampleStream - Class in opennlp.tools.formats.frenchtreebank
 
ConstitParseSampleStream(ObjectStream<byte[]>) - Constructor for class opennlp.tools.formats.frenchtreebank.ConstitParseSampleStream
 
ConstitParseSampleStreamFactory - Class in opennlp.tools.formats.frenchtreebank
 
Constituent - Class in opennlp.tools.parser
Class used to hold constituents when reading parses.
Constituent(String, Span) - Constructor for class opennlp.tools.parser.Constituent
 
constructContexts(Mention[], HeadFinder) - Static method in class opennlp.tools.coref.sim.Context
 
constructHeadMap(List<Parse>) - Method in class opennlp.tools.coref.mention.AbstractMentionFinder
Assigns head relations between noun phrases and the child np which is their head.
constructMentionContexts(Mention[]) - Method in class opennlp.tools.coref.AbstractLinker
 
constructMentionContexts(Mention[]) - Method in interface opennlp.tools.coref.Linker
Creates mention contexts for the specified mention exents.
constructModel() - Method in class opennlp.maxent.io.GISModelReader
Retrieve a model from disk.
constructModel() - Method in class opennlp.maxent.io.QNModelReader
 
constructModel() - Method in class opennlp.model.AbstractModelReader
 
constructModel() - Method in class opennlp.model.GenericModelReader
 
constructModel() - Method in class opennlp.perceptron.PerceptronModelReader
Retrieve a model from disk.
constructModifierSet(Parse[], int) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
 
CONT - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
Prefix for outcomes continuing a constituent.
containerType - Variable in class opennlp.uima.sentdetect.AbstractSentenceDetector
 
ContainingConstraint - Class in opennlp.uima.util
Checks if an AnnotationFS is contained by the given AnnotationFS.
ContainingConstraint() - Constructor for class opennlp.uima.util.ContainingConstraint
Initializes a new instance.
ContainingConstraint(AnnotationFS) - Constructor for class opennlp.uima.util.ContainingConstraint
Initializes a new instance.
contains(int) - Method in class opennlp.model.MutableContext
 
contains(StringList) - Method in class opennlp.tools.dictionary.Dictionary
Checks if this dictionary has the given entry.
contains(String) - Method in class opennlp.tools.dictionary.Index
Checks if at leat one StringList contains the given token.
contains(StringList) - Method in class opennlp.tools.ngram.NGramModel
Checks fit he given tokens are contained by the current instance.
contains(Object) - Method in class opennlp.tools.util.CountedSet
 
contains(Span) - Method in class opennlp.tools.util.Span
Returns true if the specified span is contained by this span.
contains(int) - Method in class opennlp.tools.util.Span
Returns true if the specified index is contained inside this span.
containsAll(Collection<?>) - Method in class opennlp.tools.util.CountedSet
 
containsComma() - Method in class opennlp.tools.util.featuregen.StringPattern
 
containsDigit() - Method in class opennlp.tools.util.featuregen.StringPattern
 
containsHyphen() - Method in class opennlp.tools.util.featuregen.StringPattern
 
containsKey(Object) - Method in class opennlp.tools.util.Cache
 
containsLetters() - Method in class opennlp.tools.util.featuregen.StringPattern
 
containsParam(String, String[]) - Static method in class opennlp.tools.cmdline.CmdLineUtil
 
containsPeriod() - Method in class opennlp.tools.util.featuregen.StringPattern
 
containsSlash() - Method in class opennlp.tools.util.featuregen.StringPattern
 
containsValue(Object) - Method in class opennlp.tools.util.Cache
 
ContentHandler() - Constructor for class opennlp.tools.formats.muc.SgmlParser.ContentHandler
 
Context - Class in opennlp.model
Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.
Context(int[], double[]) - Constructor for class opennlp.model.Context
Creates a new parameters object with the specified parameters associated with the specified outcome pattern.
Context - Class in opennlp.tools.coref.sim
Specifies the context of a mention for computing gender, number, and semantic compatibility.
Context(Span, Span, int, Parse, String, String, HeadFinder) - Constructor for class opennlp.tools.coref.sim.Context
 
Context(Object[], String, String, String) - Constructor for class opennlp.tools.coref.sim.Context
 
Context(Mention, HeadFinder) - Constructor for class opennlp.tools.coref.sim.Context
 
context - Variable in class opennlp.uima.parser.Parser
 
context - Variable in class opennlp.uima.sentdetect.AbstractSentenceDetector
 
context - Variable in class opennlp.uima.tokenize.AbstractTokenizer
 
contextGen - Variable in class opennlp.tools.postag.POSTaggerME
The feature context generator.
ContextGenerator - Interface in opennlp.maxent
Generate contexts for maxent decisions.
contextGenerator - Variable in class opennlp.tools.namefind.NameFinderME
 
contexts - Variable in class opennlp.model.AbstractDataIndexer
The integer contexts associated with each unique event.
CONTINUE - Static variable in class opennlp.tools.namefind.NameFinderME
 
CONTRACTIONS - Static variable in class opennlp.tools.formats.ad.PortugueseContractionUtility
 
convertFuncTag(String, boolean) - Static method in class opennlp.tools.formats.ad.ADChunkSampleStream
 
CoreferenceConverterTool - Class in opennlp.tools.cmdline.coref
 
CoreferenceConverterTool() - Constructor for class opennlp.tools.cmdline.coref.CoreferenceConverterTool
 
CoreferencerTool - Class in opennlp.tools.cmdline.coref
 
CoreferencerTool() - Constructor for class opennlp.tools.cmdline.coref.CoreferencerTool
 
CoreferencerTrainerTool - Class in opennlp.tools.cmdline.coref
 
CoreferencerTrainerTool() - Constructor for class opennlp.tools.cmdline.coref.CoreferencerTrainerTool
 
CorefModel - Class in opennlp.tools.coref
 
CorefModel(String, String) - Constructor for class opennlp.tools.coref.CorefModel
 
corefProject - Variable in class opennlp.tools.coref.AbstractLinker
The name of the project where the coreference models are stored.
CorefSample - Class in opennlp.tools.coref
 
CorefSample(List<Parse>) - Constructor for class opennlp.tools.coref.CorefSample
 
CorefSampleDataStream - Class in opennlp.tools.coref
 
CorefSampleDataStream(ObjectStream<String>) - Constructor for class opennlp.tools.coref.CorefSampleDataStream
 
CorefSampleStreamFactory - Class in opennlp.tools.formats
 
CorefSampleStreamFactory() - Constructor for class opennlp.tools.formats.CorefSampleStreamFactory
 
CorefTrainer - Class in opennlp.tools.coref
 
CorefTrainer() - Constructor for class opennlp.tools.coref.CorefTrainer
 
CORRECTION_CONSTANT - Variable in class opennlp.maxent.io.GISModelWriter
 
CORRECTION_PARAM - Variable in class opennlp.maxent.io.GISModelWriter
 
correctlyClassified(T, T) - Method in class opennlp.tools.cmdline.DetailedFMeasureListener
 
correctlyClassified(T, T) - Method in class opennlp.tools.cmdline.EvaluationErrorPrinter
 
correctlyClassified(POSSample, POSSample) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
correctlyClassified(T, T) - Method in interface opennlp.tools.util.eval.EvaluationMonitor
 
COUNT - Static variable in class opennlp.tools.ngram.NGramModel
 
count() - Method in class opennlp.tools.util.eval.Mean
Retrieves the number of times a value was added to the mean.
CountedSet<E> - Class in opennlp.tools.util
Set which counts the number of times a values are added to it.
CountedSet() - Constructor for class opennlp.tools.util.CountedSet
Creates a new counted set.
CountedSet(int) - Constructor for class opennlp.tools.util.CountedSet
Creates a new counted set of the specified initial size.
Counter - Class in opennlp.maxent
A simple class which is essentially an Integer which is mutable via incrementation.
Counter() - Constructor for class opennlp.maxent.Counter
 
create(String) - Static method in class opennlp.tools.chunker.ChunkerFactory
 
create(String[]) - Method in interface opennlp.tools.cmdline.ObjectStreamFactory
Creates the ObjectStream.
create(InputStream, EntryInserter) - Static method in class opennlp.tools.dictionary.serializer.DictionarySerializer
Creates Entrys from the given InputStream and forwards these Entrys to the EntryInserter.
create(String[]) - Method in class opennlp.tools.formats.ad.ADChunkSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.ad.ADNameSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.ad.ADPOSSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.ad.ADSentenceSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.ad.ADTokenSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.BioNLP2004NameSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.ChunkerSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.Conll02NameSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.Conll03NameSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.ConllXPOSSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.ConllXSentenceSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.ConllXTokenSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.convert.NameToSentenceSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.convert.NameToTokenSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.convert.ParseToPOSSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.convert.ParseToSentenceSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.convert.ParseToTokenSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.convert.POSToSentenceSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.convert.POSToTokenSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.CorefSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.DocumentSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.frenchtreebank.ConstitParseSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.LeipzigDocumentSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.muc.Muc6FullParseCorefSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.muc.Muc6NameSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.NameSampleDataStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.ParseSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.SentenceSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.TokenSampleStreamFactory
 
create(String[]) - Method in class opennlp.tools.formats.WordTagSampleStreamFactory
 
create(ParserModel, int, double) - Static method in class opennlp.tools.parser.ParserFactory
 
create(ParserModel) - Static method in class opennlp.tools.parser.ParserFactory
 
create(InputStream) - Static method in class opennlp.tools.postag.POSDictionary
Creates a new POSDictionary from a provided InputStream.
create(String, Dictionary, TagDictionary) - Static method in class opennlp.tools.postag.POSTaggerFactory
 
create(String, String, boolean, Dictionary, char[]) - Static method in class opennlp.tools.sentdetect.SentenceDetectorFactory
 
create(String, String, Dictionary, boolean, Pattern) - Static method in class opennlp.tools.tokenize.TokenizerFactory
Factory method the framework uses create a new TokenizerFactory.
create(String, ArtifactProvider) - Static method in class opennlp.tools.util.BaseToolFactory
 
create(Class<? extends BaseToolFactory>, ArtifactProvider) - Static method in class opennlp.tools.util.BaseToolFactory
 
create(InputStream, FeatureGeneratorResourceProvider) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory
Creates an AdaptiveFeatureGenerator from an provided XML descriptor.
create(InputStream) - Method in interface opennlp.tools.util.model.ArtifactSerializer
Creates the artifact from the provided InputStream.
create(InputStream) - Method in class opennlp.tools.util.model.ClassSerializer
Deprecated.
 
create(InputStream) - Method in class opennlp.tools.util.model.FeatureGeneratorFactorySerializer
Deprecated.
 
create(InputStream) - Method in class opennlp.tools.util.model.GenericModelSerializer
 
createAnnotation(CAS, int, Parse) - Method in class opennlp.uima.parser.Parser
 
createArtifactMap() - Method in class opennlp.tools.postag.POSTaggerFactory
 
createArtifactMap() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
 
createArtifactMap() - Method in class opennlp.tools.tokenize.TokenizerFactory
 
createArtifactMap() - Method in class opennlp.tools.util.BaseToolFactory
Creates a Map with pairs of keys and objects.
createArtifactSerializers(Map<String, ArtifactSerializer>) - Method in class opennlp.tools.namefind.TokenNameFinderModel
 
createArtifactSerializers() - Static method in class opennlp.tools.namefind.TokenNameFinderModel
 
createArtifactSerializers(Map<String, ArtifactSerializer>) - Method in class opennlp.tools.parser.ParserModel
 
createArtifactSerializers(Map<String, ArtifactSerializer>) - Method in class opennlp.tools.postag.POSModel
 
createArtifactSerializers() - Static method in class opennlp.tools.util.model.BaseModel
 
createArtifactSerializers(Map<String, ArtifactSerializer>) - Method in class opennlp.tools.util.model.BaseModel
Registers all ArtifactSerializer for their artifact file name extensions.
createArtifactSerializersMap() - Method in class opennlp.tools.postag.POSTaggerFactory
 
createArtifactSerializersMap() - Method in class opennlp.tools.util.BaseToolFactory
Creates a Map with pairs of keys and ArtifactSerializer.
createContext(String, int) - Method in class opennlp.tools.tokenize.DefaultTokenContextGenerator
Returns an ArrayList of features for the specified sentence string at the specified index.
createDerivationString - Variable in class opennlp.tools.parser.AbstractBottomUpParser
Specifies whether a derivation string should be created during parsing.
createDetokenizer(DetokenizerParameter) - Method in class opennlp.tools.formats.DetokenizerSampleStreamFactory
 
createDictionary(ObjectStream<StringList>) - Static method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
Creates a dictionary.
createEmptyTagDictionary() - Method in class opennlp.tools.postag.POSTaggerFactory
 
createEndOfSentenceScanner(String) - Method in class opennlp.tools.sentdetect.lang.Factory
 
createEndOfSentenceScanner(char[]) - Method in class opennlp.tools.sentdetect.lang.Factory
 
createEvents(DocumentSample) - Method in class opennlp.tools.doccat.DocumentCategorizerEventStream
 
createEvents(NameSample) - Method in class opennlp.tools.namefind.NameFinderEventStream
 
createEvents(Parse) - Method in class opennlp.tools.parser.AbstractParserEventStream
 
createEvents(POSSample) - Method in class opennlp.tools.postag.POSSampleEventStream
 
createEvents(SentenceSample) - Method in class opennlp.tools.sentdetect.SDEventStream
 
createEvents(TokenSample) - Method in class opennlp.tools.tokenize.TokSpanEventStream
Adds training events to the event stream for each of the specified tokens.
createEvents(T) - Method in class opennlp.tools.util.AbstractEventStream
Creates events for the provided sample.
createFeatureGenerator(FeatureGeneratorResourceProvider) - Method in interface opennlp.tools.util.featuregen.FeatureGeneratorFactory
Deprecated.
createFeatureGenerators() - Method in class opennlp.tools.namefind.TokenNameFinderModel
createFeatures(List<String>, String[], int, String[]) - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator
Adds the appropriate features for the token at the specified index with the specified array of previous outcomes to the specified list of features.
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
 
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.BigramNameFeatureGenerator
 
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
 
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator
 
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
 
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.FastTokenClassFeatureGenerator
Deprecated.
 
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.InSpanGenerator
 
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.OutcomePriorFeatureGenerator
 
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PrefixFeatureGenerator
 
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator
 
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.SentenceFeatureGenerator
 
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.SuffixFeatureGenerator
 
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TokenClassFeatureGenerator
 
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TokenFeatureGenerator
 
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TokenPatternFeatureGenerator
 
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
 
createManifestEntries() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
 
createManifestEntries() - Method in class opennlp.tools.tokenize.TokenizerFactory
 
createManifestEntries() - Method in class opennlp.tools.util.BaseToolFactory
Creates the manifest entries that will be added to the model manifest
createObjectStream(T...) - Static method in class opennlp.tools.util.ObjectStreamUtils
Creates an ObjectStream form an array.
createObjectStream(Collection<T>) - Static method in class opennlp.tools.util.ObjectStreamUtils
Creates an ObjectStream form a collection.
createObjectStream(ObjectStream<T>...) - Static method in class opennlp.tools.util.ObjectStreamUtils
 
createOptionalDictionary(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
 
createOptionalDictionary(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
 
createReport() - Method in class opennlp.tools.cmdline.DetailedFMeasureListener
 
createReport(Locale) - Method in class opennlp.tools.cmdline.DetailedFMeasureListener
 
createSentenceContextGenerator(String, Set<String>) - Method in class opennlp.tools.sentdetect.lang.Factory
 
createSentenceContextGenerator(Set<String>, char[]) - Method in class opennlp.tools.sentdetect.lang.Factory
 
createSentenceContextGenerator(String) - Method in class opennlp.tools.sentdetect.lang.Factory
 
createTagDictionary(File) - Method in class opennlp.tools.postag.POSTaggerFactory
 
createTagDictionary(InputStream) - Method in class opennlp.tools.postag.POSTaggerFactory
 
createTokenContextGenerator(String, Set<String>) - Method in class opennlp.tools.tokenize.lang.Factory
 
createTrainingParameters(int, int) - Static method in class opennlp.tools.util.model.ModelUtil
Note: Do not use this legacy support method, internal use only!
createUsage(Class<T>) - Static method in class opennlp.tools.cmdline.ArgumentParser
Creates a usage string which can be printed in case the user did specify the arguments incorrectly.
createUsage(Class<T>...) - Static method in class opennlp.tools.cmdline.ArgumentParser
Creates a usage string which can be printed in case the user did specify the arguments incorrectly.
crosses(Span) - Method in class opennlp.tools.util.Span
Returns true is the specified span crosses this span.
CrossValidationPartitioner<E> - Class in opennlp.tools.util.eval
Provides access to training and test partitions for n-fold cross validation.
CrossValidationPartitioner(ObjectStream<E>, int) - Constructor for class opennlp.tools.util.eval.CrossValidationPartitioner
Initializes the current instance.
CrossValidationPartitioner(Collection<E>, int) - Constructor for class opennlp.tools.util.eval.CrossValidationPartitioner
Initializes the current instance.
CrossValidationPartitioner.TrainingSampleStream<E> - Class in opennlp.tools.util.eval
The TrainingSampleStream which iterates over all training elements.
currentVersion() - Static method in class opennlp.tools.util.Version
Retrieves the current version of the OpenNlp Tools library.
cutoff(int, int) - Method in class opennlp.tools.ngram.NGramModel
Deletes all ngram which do appear less than the cutoffUnder value and more often than the cutoffOver value.
CUTOFF_PARAM - Static variable in class opennlp.model.TrainUtil
 
CUTOFF_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
 
CUTOFF_PARAMETER - Static variable in class opennlp.uima.util.UimaUtil
 
CVParams - Interface in opennlp.tools.cmdline.params
Common cross validator parameters.

D

DATA_INDEXER_ONE_PASS_VALUE - Static variable in class opennlp.model.TrainUtil
 
DATA_INDEXER_PARAM - Static variable in class opennlp.model.TrainUtil
 
DATA_INDEXER_TWO_PASS_VALUE - Static variable in class opennlp.model.TrainUtil
 
DataIndexer - Interface in opennlp.model
Object which compresses events in memory and performs feature selection.
dataReader - Variable in class opennlp.model.AbstractModelReader
 
DataReader - Interface in opennlp.model
 
DataStream - Interface in opennlp.maxent
A interface for objects which can deliver a stream of training data to be supplied to an EventStream.
debug - Variable in class opennlp.tools.coref.AbstractLinker
Specifies whether debug print is generated.
debugOn - Variable in class opennlp.tools.parser.AbstractBottomUpParser
Turns debug print on or off.
DEFAULT - Static variable in class opennlp.tools.coref.resolver.MaxentResolver
Default feature value.
DEFAULT_ALPHANUMERIC - Static variable in class opennlp.tools.tokenize.lang.Factory
 
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.chunker.ChunkerME
 
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.namefind.NameFinderME
 
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.postag.POSTaggerME
 
DEFAULT_CHARSET - Static variable in annotation type opennlp.tools.cmdline.ArgumentParser.OptionalParameter
 
DEFAULT_FORMAT - Static variable in class opennlp.tools.cmdline.StreamFactoryRegistry
 
DEFAULT_M - Static variable in class opennlp.maxent.quasinewton.QNTrainer
 
DEFAULT_MAX_FCT_EVAL - Static variable in class opennlp.maxent.quasinewton.QNTrainer
 
DEFAULT_SEPARATOR_CHARS - Static variable in class opennlp.tools.tokenize.TokenSample
 
DEFAULT_TYPE - Static variable in class opennlp.tools.namefind.NameSample
The a default type value when there is no type in training data.
defaultAdvancePercentage - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
The default amount of probability mass required of advanced outcomes.
defaultBeamSize - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
The default beam size used if no beam size is given.
DefaultChunkerContextGenerator - Class in opennlp.tools.chunker
Features based on chunking model described in Fei Sha and Fernando Pereira.
DefaultChunkerContextGenerator() - Constructor for class opennlp.tools.chunker.DefaultChunkerContextGenerator
Creates the default context generator a chunker.
DefaultChunkerSequenceValidator - Class in opennlp.tools.chunker
 
DefaultChunkerSequenceValidator() - Constructor for class opennlp.tools.chunker.DefaultChunkerSequenceValidator
 
DefaultEndOfSentenceScanner - Class in opennlp.tools.sentdetect
Default implementation of the EndOfSentenceScanner.
DefaultEndOfSentenceScanner(char[]) - Constructor for class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
Initializes the current instance.
defaultEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory
 
DefaultLinker - Class in opennlp.tools.coref
This class perform coreference for treebank style parses or for noun-phrase chunked data.
DefaultLinker(String, LinkerMode) - Constructor for class opennlp.tools.coref.DefaultLinker
Creates a new linker with the specified model directory, running in the specified mode.
DefaultLinker(String, LinkerMode, boolean) - Constructor for class opennlp.tools.coref.DefaultLinker
Creates a new linker with the specified model directory, running in the specified mode which uses a discourse model based on the specified parameter.
DefaultLinker(String, LinkerMode, boolean, double) - Constructor for class opennlp.tools.coref.DefaultLinker
Creates a new linker with the specified model directory, running in the specified mode which uses a discourse model based on the specified parameter and uses the specified fixed non-referential probability.
DefaultNameContextGenerator - Class in opennlp.tools.namefind
Class for determining contextual features for a tag/chunk style named-entity recognizer.
DefaultNameContextGenerator() - Constructor for class opennlp.tools.namefind.DefaultNameContextGenerator
Deprecated.
use the other constructor and always provide the feature generators
DefaultNameContextGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.namefind.DefaultNameContextGenerator
Creates a name context generator with the specified cache size.
DefaultNonReferentialResolver - Class in opennlp.tools.coref.resolver
Default implementation of the NonReferentialResolver interface.
DefaultNonReferentialResolver(String, String, ResolverMode) - Constructor for class opennlp.tools.coref.resolver.DefaultNonReferentialResolver
 
defaultParams() - Static method in class opennlp.tools.util.TrainingParameters
 
DefaultParse - Class in opennlp.tools.coref.mention
This class is a wrapper for Parse mapping it to the API specified in Parse.
DefaultParse(Parse, int) - Constructor for class opennlp.tools.coref.mention.DefaultParse
Initializes the current instance.
DefaultPOSContextGenerator - Class in opennlp.tools.postag
A context generator for the POS Tagger.
DefaultPOSContextGenerator(Dictionary) - Constructor for class opennlp.tools.postag.DefaultPOSContextGenerator
Initializes the current instance.
DefaultPOSContextGenerator(int, Dictionary) - Constructor for class opennlp.tools.postag.DefaultPOSContextGenerator
Initializes the current instance.
DefaultPOSSequenceValidator - Class in opennlp.tools.postag
 
DefaultPOSSequenceValidator(TagDictionary) - Constructor for class opennlp.tools.postag.DefaultPOSSequenceValidator
 
defaultReferent(DiscourseEntity) - Method in class opennlp.tools.coref.resolver.IsAResolver
 
defaultReferent(DiscourseEntity) - Method in class opennlp.tools.coref.resolver.MaxentResolver
Returns whether the specified entity satisfies the criteria for being a default referent.
DefaultSDContextGenerator - Class in opennlp.tools.sentdetect
Generate event contexts for maxent decisions for sentence detection.
DefaultSDContextGenerator(char[]) - Constructor for class opennlp.tools.sentdetect.DefaultSDContextGenerator
Creates a new SDContextGenerator instance with no induced abbreviations.
DefaultSDContextGenerator(Set<String>, char[]) - Constructor for class opennlp.tools.sentdetect.DefaultSDContextGenerator
Creates a new SDContextGenerator instance which uses the set of induced abbreviations.
DefaultTokenContextGenerator - Class in opennlp.tools.tokenize
Generate events for maxent decisions for tokenization.
DefaultTokenContextGenerator() - Constructor for class opennlp.tools.tokenize.DefaultTokenContextGenerator
Creates a default context generator for tokenizer.
DefaultTokenContextGenerator(Set<String>) - Constructor for class opennlp.tools.tokenize.DefaultTokenContextGenerator
Creates a default context generator for tokenizer.
definiteArticle(String, String) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
Returns whether the specified token is a definite article.
DefiniteNounResolver - Class in opennlp.tools.coref.resolver
Resolves coreference between definite noun-phrases.
DefiniteNounResolver(String, ResolverMode) - Constructor for class opennlp.tools.coref.resolver.DefiniteNounResolver
 
DefiniteNounResolver(String, ResolverMode, NonReferentialResolver) - Constructor for class opennlp.tools.coref.resolver.DefiniteNounResolver
 
DESCRIPTOR - Static variable in interface opennlp.tools.coref.Linker
String constant used to label a mention which is a description.
designatorsPattern - Static variable in class opennlp.tools.coref.resolver.ResolverUtils
Regular expression for English corporate designators.
destroy() - Method in class opennlp.uima.chunker.Chunker
Releases allocated resources.
destroy() - Method in class opennlp.uima.chunker.ChunkerTrainer
Releases allocated resources.
destroy() - Method in class opennlp.uima.doccat.DocumentCategorizerTrainer
Destroys the current instance.
destroy() - Method in class opennlp.uima.namefind.DictionaryNameFinder
Releases allocated resources.
destroy() - Method in class opennlp.uima.namefind.NameFinder
Releases allocated resources.
destroy() - Method in class opennlp.uima.namefind.NameFinderTrainer
Destroys the current instance.
destroy() - Method in class opennlp.uima.parser.Parser
Releases allocated resources.
destroy() - Method in class opennlp.uima.postag.POSTagger
Releases allocated resources.
destroy() - Method in class opennlp.uima.postag.POSTaggerTrainer
Releases allocated resources.
destroy() - Method in class opennlp.uima.sentdetect.SentenceDetector
Releases allocated resources.
destroy() - Method in class opennlp.uima.sentdetect.SentenceDetectorTrainer
Releases allocated resources.
destroy() - Method in class opennlp.uima.tokenize.Tokenizer
Releases allocated resources.
destroy() - Method in class opennlp.uima.tokenize.TokenizerTrainer
Releases allocated resources.
DetailedFMeasureEvaluatorParams - Interface in opennlp.tools.cmdline.params
EvaluatorParams for Chunker.
DetailedFMeasureListener<T> - Class in opennlp.tools.cmdline
This listener will gather detailed information about the sample under evaluation and will allow detailed FMeasure for each outcome.
DetailedFMeasureListener() - Constructor for class opennlp.tools.cmdline.DetailedFMeasureListener
 
detectSentences(String) - Method in class opennlp.uima.sentdetect.AbstractSentenceDetector
 
detectSentences(String) - Method in class opennlp.uima.sentdetect.SentenceDetector
 
DetokenizationDictionary - Class in opennlp.tools.tokenize
 
DetokenizationDictionary(String[], DetokenizationDictionary.Operation[]) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary
Initializes the current instance.
DetokenizationDictionary(InputStream) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary
 
DetokenizationDictionary.Operation - Enum in opennlp.tools.tokenize
 
detokenize(String[]) - Method in interface opennlp.tools.tokenize.Detokenizer
Detokenize the input tokens.
detokenize(String[], String) - Method in interface opennlp.tools.tokenize.Detokenizer
Detokenize the input tokens into a String.
detokenize(String[]) - Method in class opennlp.tools.tokenize.DictionaryDetokenizer
 
detokenize(String[], String) - Method in class opennlp.tools.tokenize.DictionaryDetokenizer
 
Detokenizer - Interface in opennlp.tools.tokenize
A Detokenizer merges tokens back to their untokenized representation.
Detokenizer.DetokenizationOperation - Enum in opennlp.tools.tokenize
This enum contains an operation for every token to merge the tokens together to their detokenized form.
DetokenizerParameter - Interface in opennlp.tools.cmdline.params
 
DetokenizerSampleStreamFactory<T> - Class in opennlp.tools.formats
Base class for factories which need detokenizer.
DetokenizerSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.DetokenizerSampleStreamFactory
 
DEV_VERSION - Static variable in class opennlp.tools.util.Version
 
dict - Variable in class opennlp.tools.parser.AbstractParserEventStream
 
Dictionary - Interface in opennlp.tools.coref.mention
Interface to provide dictionary information to the coreference module assuming a hierarchically structured dictionary (such as WordNet) is available.
Dictionary - Class in opennlp.tools.dictionary
This class is a dictionary.
Dictionary() - Constructor for class opennlp.tools.dictionary.Dictionary
Initializes an empty Dictionary.
Dictionary(boolean) - Constructor for class opennlp.tools.dictionary.Dictionary
 
Dictionary(InputStream) - Constructor for class opennlp.tools.dictionary.Dictionary
Initializes the Dictionary from an existing dictionary resource.
Dictionary(InputStream, boolean) - Constructor for class opennlp.tools.dictionary.Dictionary
Deprecated.
This constructor is deprecated. Passing the case sensitivity flag has no effect. Use Dictionary.Dictionary(InputStream) instead and set the case sensitivity during the dictionary creation.
DICTIONARY_PARAMETER - Static variable in class opennlp.uima.util.UimaUtil
 
DictionaryBuilderTool - Class in opennlp.tools.cmdline.dictionary
 
DictionaryBuilderTool() - Constructor for class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
 
DictionaryDetokenizer - Class in opennlp.tools.tokenize
A rule based detokenizer.
DictionaryDetokenizer(DetokenizationDictionary) - Constructor for class opennlp.tools.tokenize.DictionaryDetokenizer
 
DictionaryDetokenizerTool - Class in opennlp.tools.cmdline.tokenizer
 
DictionaryDetokenizerTool() - Constructor for class opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool
 
DictionaryFactory - Class in opennlp.tools.coref.mention
Factory class used to get an instance of a dictionary object.
DictionaryFactory() - Constructor for class opennlp.tools.coref.mention.DictionaryFactory
 
DictionaryFeatureGenerator - Class in opennlp.tools.util.featuregen
The DictionaryFeatureGenerator uses the DictionaryNameFinder to generated features for detected names based on the InSpanGenerator.
DictionaryFeatureGenerator(Dictionary) - Constructor for class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
 
DictionaryFeatureGenerator(String, Dictionary) - Constructor for class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
 
DictionaryNameFinder - Class in opennlp.tools.namefind
This is a dictionary based name finder, it scans text for names inside a dictionary.
DictionaryNameFinder(Dictionary, String) - Constructor for class opennlp.tools.namefind.DictionaryNameFinder
Initialized the current instance with he provided dictionary and a type.
DictionaryNameFinder(Dictionary) - Constructor for class opennlp.tools.namefind.DictionaryNameFinder
Initializes the current instance with the provided dictionary.
DictionaryNameFinder - Class in opennlp.uima.namefind
 
DictionaryNameFinder() - Constructor for class opennlp.uima.namefind.DictionaryNameFinder
Initializes a new instance.
DictionarySerializer - Class in opennlp.tools.dictionary.serializer
This class is used by for reading and writing dictionaries of all kinds.
DictionarySerializer() - Constructor for class opennlp.tools.dictionary.serializer.DictionarySerializer
 
DIFF - Static variable in class opennlp.tools.coref.resolver.MaxentResolver
Outcome when two mentions are not coreferent.
DifferentiableFunction - Interface in opennlp.maxent.quasinewton
interface for a function that can be differentiated once.
digits() - Method in class opennlp.tools.util.featuregen.StringPattern
Retrieves the number of digits.
DirectorySampleStream - Class in opennlp.tools.formats
The directory sample stream scans a directory (recursively) for plain text files and outputs each file as a String object.
DirectorySampleStream(File[], FileFilter, boolean) - Constructor for class opennlp.tools.formats.DirectorySampleStream
 
DirectorySampleStream(File, FileFilter, boolean) - Constructor for class opennlp.tools.formats.DirectorySampleStream
 
DiscourseElement - Class in opennlp.tools.coref
Represents an item in which can be put into the discourse model.
DiscourseElement(MentionContext) - Constructor for class opennlp.tools.coref.DiscourseElement
Creates a new discourse element which contains the specified mention.
DiscourseEntity - Class in opennlp.tools.coref
Represents an entity in a discourse model.
DiscourseEntity(MentionContext, GenderEnum, double, NumberEnum, double) - Constructor for class opennlp.tools.coref.DiscourseEntity
Creates a new entity based on the specified mention and its specified gender and number properties.
DiscourseEntity(MentionContext) - Constructor for class opennlp.tools.coref.DiscourseEntity
Creates a new entity based on the specified mention.
DiscourseModel - Class in opennlp.tools.coref
Represents the elements which are part of a discourse.
DiscourseModel() - Constructor for class opennlp.tools.coref.DiscourseModel
Creates a new discourse model.
distances - Variable in class opennlp.tools.coref.resolver.AbstractResolver
Debugging variable which holds statistics about mention distances during training.
DoccatConverterTool - Class in opennlp.tools.cmdline.doccat
 
DoccatConverterTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatConverterTool
 
DoccatModel - Class in opennlp.tools.doccat
 
DoccatModel(String, AbstractModel, Map<String, String>) - Constructor for class opennlp.tools.doccat.DoccatModel
 
DoccatModel(String, AbstractModel) - Constructor for class opennlp.tools.doccat.DoccatModel
 
DoccatModel(InputStream) - Constructor for class opennlp.tools.doccat.DoccatModel
 
DoccatModel(File) - Constructor for class opennlp.tools.doccat.DoccatModel
 
DoccatModel(URL) - Constructor for class opennlp.tools.doccat.DoccatModel
 
DoccatModelLoader - Class in opennlp.tools.cmdline.doccat
Loads a Document Categorizer Model for the command line tools.
DoccatModelLoader() - Constructor for class opennlp.tools.cmdline.doccat.DoccatModelLoader
 
DoccatModelResource - Interface in opennlp.uima.doccat
 
DoccatModelResourceImpl - Class in opennlp.uima.doccat
 
DoccatModelResourceImpl() - Constructor for class opennlp.uima.doccat.DoccatModelResourceImpl
 
DoccatTool - Class in opennlp.tools.cmdline.doccat
 
DoccatTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatTool
 
DoccatTrainerTool - Class in opennlp.tools.cmdline.doccat
 
DoccatTrainerTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatTrainerTool
 
DOCSTART - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
 
DocumentCategorizer - Interface in opennlp.tools.doccat
Interface for classes which categorize documents.
DocumentCategorizer - Class in opennlp.uima.doccat
OpenNLP Document Categorizer.
DocumentCategorizer() - Constructor for class opennlp.uima.doccat.DocumentCategorizer
 
DocumentCategorizerEvaluator - Class in opennlp.tools.doccat
The DocumentCategorizerEvaluator measures the performance of the given DocumentCategorizer with the provided reference DocumentSamples.
DocumentCategorizerEvaluator(DocumentCategorizer) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEvaluator
Initializes the current instance.
DocumentCategorizerEventStream - Class in opennlp.tools.doccat
Iterator-like class for modeling document classification events.
DocumentCategorizerEventStream(ObjectStream<DocumentSample>, FeatureGenerator...) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEventStream
Initializes the current instance.
DocumentCategorizerEventStream(ObjectStream<DocumentSample>) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEventStream
Initializes the current instance.
DocumentCategorizerME - Class in opennlp.tools.doccat
Maxent implementation of DocumentCategorizer.
DocumentCategorizerME(DoccatModel, FeatureGenerator...) - Constructor for class opennlp.tools.doccat.DocumentCategorizerME
Initializes a the current instance with a doccat model and custom feature generation.
DocumentCategorizerME(DoccatModel) - Constructor for class opennlp.tools.doccat.DocumentCategorizerME
Initializes the current instance with a doccat model.
DocumentCategorizerME(MaxentModel) - Constructor for class opennlp.tools.doccat.DocumentCategorizerME
DocumentCategorizerME(MaxentModel, FeatureGenerator...) - Constructor for class opennlp.tools.doccat.DocumentCategorizerME
DocumentCategorizerTrainer - Class in opennlp.uima.doccat
OpenNLP NameFinder trainer.
DocumentCategorizerTrainer() - Constructor for class opennlp.uima.doccat.DocumentCategorizerTrainer
 
documentDone(CAS) - Method in class opennlp.uima.namefind.NameFinder
 
DocumentNameFinder - Interface in opennlp.tools.namefind
Name finding interface which processes an entire document allowing the name finder to use context from the entire document.
DocumentSample - Class in opennlp.tools.doccat
Class which holds a classified document and its category.
DocumentSample(String, String) - Constructor for class opennlp.tools.doccat.DocumentSample
 
DocumentSample(String, String[]) - Constructor for class opennlp.tools.doccat.DocumentSample
 
DocumentSampleStream - Class in opennlp.tools.doccat
This class reads in string encoded training samples, parses them and outputs DocumentSample objects.
DocumentSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.doccat.DocumentSampleStream
 
DocumentSampleStreamFactory - Class in opennlp.tools.formats
Factory producing OpenNLP DocumentSampleStreams.
DocumentSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.DocumentSampleStreamFactory
 
doLineSearch(DifferentiableFunction, double[], LineSearchResult) - Static method in class opennlp.maxent.quasinewton.LineSearch
 
doLineSearch(DifferentiableFunction, double[], LineSearchResult, boolean) - Static method in class opennlp.maxent.quasinewton.LineSearch
 
DomainToModelMap - Class in opennlp.maxent
A class which stores a mapping from ModelDomain objects to MaxentModels.
DomainToModelMap() - Constructor for class opennlp.maxent.DomainToModelMap
 
DONE - Static variable in class opennlp.tools.parser.treeinsert.Parser
Outcome used when a constituent needs an no additional parent node/building.
DoubleStringPair - Class in opennlp.maxent
 
DoubleStringPair(double, String) - Constructor for class opennlp.maxent.DoubleStringPair
 
doubleValue - Variable in class opennlp.maxent.DoubleStringPair
 
dropOverlappingSpans(Span[]) - Static method in class opennlp.tools.namefind.NameFinderME
Removes spans with are intersecting or crossing in anyway.
DynamicEvalParameters - Class in opennlp.model
 
DynamicEvalParameters(List<? extends Context>, int) - Constructor for class opennlp.model.DynamicEvalParameters
Creates a set of paramters which can be evaulated with the eval method.

E

EmptyLinePreprocessorStream - Class in opennlp.tools.sentdetect
Stream to to clean up empty lines for empty line separated document streams.
- Skips empty line at training data start
- Transforms multiple empty lines in a row into one
- Replaces white space lines with empty lines
- TODO: Terminates last document with empty line if it is missing

This stream should be used by the components that mark empty lines to mark document boundaries.
EmptyLinePreprocessorStream(ObjectStream<String>) - Constructor for class opennlp.tools.sentdetect.EmptyLinePreprocessorStream
 
EncodingParameter - Interface in opennlp.tools.cmdline.params
Encoding parameter.
END_TAG - Static variable in class opennlp.tools.namefind.NameSampleDataStream
 
endElement(String) - Method in class opennlp.tools.formats.muc.MucNameContentHandler
 
endElement(String) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler
 
EndOfSentenceScanner - Interface in opennlp.tools.sentdetect
Scans Strings, StringBuffers, and char[] arrays for the offsets of sentence ending characters.
entities - Variable in class opennlp.tools.coref.AbstractLinker
Array used to store the results of each call made to the linker.
Entry - Class in opennlp.tools.dictionary.serializer
An Entry is a StringList which can optionally be mapped to attributes.
Entry(StringList, Attributes) - Constructor for class opennlp.tools.dictionary.serializer.Entry
Initializes the current instance.
EntryInserter - Interface in opennlp.tools.dictionary.serializer
 
entrySet() - Method in class opennlp.tools.util.Cache
 
EOS - Static variable in class opennlp.tools.parser.AbstractContextGenerator
 
eosCharacters - Static variable in class opennlp.tools.sentdetect.lang.th.SentenceContextGenerator
 
equals(Object) - Method in class opennlp.maxent.quasinewton.QNModel
 
equals(Object) - Method in class opennlp.tools.chunker.ChunkSample
 
equals(Object) - Method in class opennlp.tools.coref.mention.DefaultParse
 
equals(Object) - Method in class opennlp.tools.dictionary.Dictionary
 
equals(Object) - Method in class opennlp.tools.doccat.DocumentSample
 
equals(Object) - Method in class opennlp.tools.namefind.NameSample
 
equals(Object) - Method in class opennlp.tools.ngram.NGramModel
 
equals(Object) - Method in class opennlp.tools.parser.lang.en.HeadRules
 
equals(Object) - Method in class opennlp.tools.parser.Parse
 
equals(Object) - Method in class opennlp.tools.postag.POSDictionary
 
equals(Object) - Method in class opennlp.tools.postag.POSSample
 
equals(Object) - Method in class opennlp.tools.sentdetect.SentenceSample
 
equals(Object) - Method in class opennlp.tools.tokenize.TokenSample
 
equals(Object) - Method in class opennlp.tools.util.Span
Checks if the specified span is equal to the current span.
equals(Object) - Method in class opennlp.tools.util.StringList
 
equals(Object) - Method in class opennlp.tools.util.Version
 
etype - Variable in class opennlp.tools.parser.AbstractParserEventStream
The type of events being generated by this event stream.
eval(String[]) - Method in class opennlp.maxent.GISModel
Use this model to evaluate a context and return an array of the likelihood of each outcome given that context.
eval(String[], float[]) - Method in class opennlp.maxent.GISModel
 
eval(String[], double[]) - Method in class opennlp.maxent.GISModel
 
eval(String[], float[], double[]) - Method in class opennlp.maxent.GISModel
Use this model to evaluate a context and return an array of the likelihood of each outcome given that context.
eval(int[], double[], EvalParameters) - Static method in class opennlp.maxent.GISModel
Use this model to evaluate a context and return an array of the likelihood of each outcome given the specified context and the specified parameters.
eval(int[], float[], double[], EvalParameters) - Static method in class opennlp.maxent.GISModel
Use this model to evaluate a context and return an array of the likelihood of each outcome given the specified context and the specified parameters.
eval(String[]) - Method in class opennlp.maxent.quasinewton.QNModel
 
eval(String[], double[]) - Method in class opennlp.maxent.quasinewton.QNModel
 
eval(String[], float[]) - Method in class opennlp.maxent.quasinewton.QNModel
 
eval(MaxentModel, Reader, Evalable) - Static method in class opennlp.maxent.TrainEval
 
eval(MaxentModel, Reader, Evalable, boolean) - Static method in class opennlp.maxent.TrainEval
 
eval(String[]) - Method in interface opennlp.model.MaxentModel
Evaluates a context.
eval(String[], double[]) - Method in interface opennlp.model.MaxentModel
Evaluates a context.
eval(String[], float[]) - Method in interface opennlp.model.MaxentModel
Evaluates a contexts with the specified context values.
eval(String[]) - Method in class opennlp.perceptron.PerceptronModel
 
eval(String[], float[]) - Method in class opennlp.perceptron.PerceptronModel
 
eval(String[], double[]) - Method in class opennlp.perceptron.PerceptronModel
 
eval(String[], float[], double[]) - Method in class opennlp.perceptron.PerceptronModel
 
eval(int[], double[], EvalParameters) - Static method in class opennlp.perceptron.PerceptronModel
 
eval(int[], float[], double[], EvalParameters, boolean) - Static method in class opennlp.perceptron.PerceptronModel
 
Evalable - Interface in opennlp.maxent
Interface for components which use maximum entropy models and can evaluate the performace of the models using the TrainEval class.
EvalParameters - Class in opennlp.model
This class encapsulates the varibales used in producing probabilities from a model and facilitaes passing these variables to the eval method.
EvalParameters(Context[], double, double, int) - Constructor for class opennlp.model.EvalParameters
Creates a set of paramters which can be evaulated with the eval method.
EvalParameters(Context[], int) - Constructor for class opennlp.model.EvalParameters
 
evalParams - Variable in class opennlp.model.AbstractModel
Parameters for the model.
evaluate(ObjectStream<ChunkSample>, int) - Method in class opennlp.tools.chunker.ChunkerCrossValidator
Starts the evaluation.
evaluate(Iterator<DocumentSample>) - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator
Reads all DocumentSample objects from the stream and evaluates each DocumentSample object with DocumentCategorizerEvaluator.evaluteSample(DocumentSample) method.
evaluate(ObjectStream<NameSample>, int) - Method in class opennlp.tools.namefind.TokenNameFinderCrossValidator
Starts the evaluation.
evaluate(ObjectStream<POSSample>, int) - Method in class opennlp.tools.postag.POSTaggerCrossValidator
Starts the evaluation.
evaluate(ObjectStream<SentenceSample>, int) - Method in class opennlp.tools.sentdetect.SDCrossValidator
Starts the evaluation.
evaluate(ObjectStream<TokenSample>, int) - Method in class opennlp.tools.tokenize.TokenizerCrossValidator
Starts the evaluation.
evaluate(ObjectStream<T>) - Method in class opennlp.tools.util.eval.Evaluator
Reads all sample objects from the stream and evaluates each sample object with Evaluator.evaluateSample(Object) method.
evaluateSample(T) - Method in class opennlp.tools.util.eval.Evaluator
Evaluates the given reference object.
EvaluationErrorPrinter<T> - Class in opennlp.tools.cmdline
Note: Do not use this class, internal use only!
EvaluationErrorPrinter(OutputStream) - Constructor for class opennlp.tools.cmdline.EvaluationErrorPrinter
 
EvaluationMonitor<T> - Interface in opennlp.tools.util.eval
 
Evaluator<T> - Class in opennlp.tools.util.eval
The Evaluator is an abstract base class for evaluators.
Evaluator(EvaluationMonitor<T>...) - Constructor for class opennlp.tools.util.eval.Evaluator
 
EvaluatorParams - Interface in opennlp.tools.cmdline.params
Common evaluation parameters.
evaluteSample(DocumentSample) - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator
Evaluates the given reference DocumentSample object.
Event - Class in opennlp.model
The context of a decision point during training.
Event(String, String[]) - Constructor for class opennlp.model.Event
 
Event(String, String[], float[]) - Constructor for class opennlp.model.Event
 
EventCollector - Interface in opennlp.model
An interface for objects which read events during training.
EventCollectorAsStream - Class in opennlp.model
A wrapper to turn EventCollectors created for Maxent 1.0 into EventStreams for Maxent 1.2.
EventCollectorAsStream(EventCollector) - Constructor for class opennlp.model.EventCollectorAsStream
 
EventStream - Interface in opennlp.model
A object which can deliver a stream of training events for the GIS procedure (or others such as IIS if and when they are implemented).
EventTraceStream - Class in opennlp.tools.util
 
EventTraceStream(EventStream, Writer) - Constructor for class opennlp.tools.util.EventTraceStream
 
ExceptionMessages - Class in opennlp.uima.util
This class contains constants for the exception messages in the exception massage catalog.
ExceptionMessages() - Constructor for class opennlp.uima.util.ExceptionMessages
 
excluded(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.AbstractResolver
Excludes entities which you are not compatible with the entity under consideration.
excluded(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.CommonNounResolver
 
excluded(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.IsAResolver
 
excluded(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.MaxentResolver
 
excluded(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.PluralNounResolver
 
excluded(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.ProperNounResolver
 
excluded(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.SingularPronounResolver
 
excluded(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.SpeechPronounResolver
 
excludedDeterminerMentionString(MentionContext) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
 
excludedHonorificMentionString(MentionContext) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
 
excludedTheMentionString(MentionContext) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
 
expandTopNode(Parse) - Method in class opennlp.tools.parser.Parse
 
ExtensionLoader - Class in opennlp.tools.util.ext
The ExtensionLoader is responsible to load extensions to the OpenNLP library.
ExtensionNotLoadedException - Exception in opennlp.tools.util.ext
Exception indicates that an OpenNLP extension could not be loaded.
ExtensionNotLoadedException(String) - Constructor for exception opennlp.tools.util.ext.ExtensionNotLoadedException
 
ExtensionNotLoadedException(Throwable) - Constructor for exception opennlp.tools.util.ext.ExtensionNotLoadedException
 
ExtensionServiceKeys - Class in opennlp.tools.util.ext
 
ExtensionServiceKeys() - Constructor for class opennlp.tools.util.ext.ExtensionServiceKeys
 
extract() - Method in interface opennlp.tools.util.Heap
Removes the smallest element from the heap and returns it.
extract() - Method in class opennlp.tools.util.ListHeap
 
extract() - Method in class opennlp.tools.util.TreeHeap
Deprecated.
 
extractFeatures(String[]) - Method in class opennlp.tools.doccat.BagOfWordsFeatureGenerator
 
extractFeatures(String[]) - Method in interface opennlp.tools.doccat.FeatureGenerator
 
extractFeatures(String[]) - Method in class opennlp.tools.doccat.NGramFeatureGenerator
 

F

factory - Variable in class opennlp.tools.cmdline.AbstractEvaluatorTool
 
factory - Variable in class opennlp.tools.cmdline.AbstractTrainerTool
 
Factory - Class in opennlp.tools.sentdetect.lang
 
Factory() - Constructor for class opennlp.tools.sentdetect.lang.Factory
 
Factory - Class in opennlp.tools.tokenize.lang
 
Factory() - Constructor for class opennlp.tools.tokenize.lang.Factory
 
FACTORY_NAME - Static variable in class opennlp.tools.util.model.BaseModel
 
FastTokenClassFeatureGenerator - Class in opennlp.tools.util.featuregen
Deprecated.
FastTokenClassFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.FastTokenClassFeatureGenerator
Deprecated.
 
FastTokenClassFeatureGenerator(boolean) - Constructor for class opennlp.tools.util.featuregen.FastTokenClassFeatureGenerator
Deprecated.
 
FEATURE_NOT_FOUND - Static variable in class opennlp.uima.util.ExceptionMessages
 
FeatureGenerator - Interface in opennlp.tools.doccat
Interface for generating features for document categorization.
FeatureGeneratorAdapter - Class in opennlp.tools.util.featuregen
This class provides empty implementations of some of the optional methods in AdditionalContextFeatureGenerator to make implementing feature generators easier.
FeatureGeneratorAdapter() - Constructor for class opennlp.tools.util.featuregen.FeatureGeneratorAdapter
 
FeatureGeneratorFactory - Interface in opennlp.tools.util.featuregen
Deprecated.
do not use this interface, will be removed!
FeatureGeneratorFactorySerializer - Class in opennlp.tools.util.model
Deprecated.
FeatureGeneratorFactorySerializer() - Constructor for class opennlp.tools.util.model.FeatureGeneratorFactorySerializer
Deprecated.
 
FeatureGeneratorResourceProvider - Interface in opennlp.tools.util.featuregen
The FeatureGeneratorResourceProvider provides access to the resources provided in the model.
FeatureGeneratorUtil - Class in opennlp.tools.util.featuregen
This class provide common utilities for feature generation.
FeatureGeneratorUtil() - Constructor for class opennlp.tools.util.featuregen.FeatureGeneratorUtil
 
featureString(MentionContext) - Method in class opennlp.tools.coref.resolver.AbstractResolver
Returns the string of "_" delimited tokens for the specified mention.
FEMALE - Static variable in class opennlp.tools.coref.sim.GenderEnum
Female gender.
femalePronounPattern - Static variable in class opennlp.tools.coref.resolver.ResolverUtils
Regular expression for English female pronouns.
FileEventStream - Class in opennlp.model
Class for using a file of events as an event stream.
FileEventStream(String, String) - Constructor for class opennlp.model.FileEventStream
Creates a new file event stream from the specified file name.
FileEventStream(String) - Constructor for class opennlp.model.FileEventStream
 
FileEventStream(File) - Constructor for class opennlp.model.FileEventStream
Creates a new file event stream from the specified file.
FileToByteArraySampleStream - Class in opennlp.tools.formats.convert
 
FileToByteArraySampleStream(ObjectStream<File>) - Constructor for class opennlp.tools.formats.convert.FileToByteArraySampleStream
 
FileToStringSampleStream - Class in opennlp.tools.formats.convert
 
FileToStringSampleStream(ObjectStream<File>, Charset) - Constructor for class opennlp.tools.formats.convert.FileToStringSampleStream
 
filter(String[], Class<T>) - Static method in class opennlp.tools.cmdline.ArgumentParser
Filters arguments leaving only those pertaining to argProxyInterface.
FilterObjectStream<S,T> - Class in opennlp.tools.util
Abstract base class for filtering ObjectStreams.
FilterObjectStream(ObjectStream<S>) - Constructor for class opennlp.tools.util.FilterObjectStream
 
find(String[]) - Method in class opennlp.tools.namefind.DictionaryNameFinder
 
find(String[][]) - Method in interface opennlp.tools.namefind.DocumentNameFinder
Returns tokens span for the specified document of sentences and their tokens.
find(String[]) - Method in class opennlp.tools.namefind.NameFinderME
 
find(String[], String[][]) - Method in class opennlp.tools.namefind.NameFinderME
Generates name tags for the given sequence, typically a sentence, returning token spans for any identified names.
find(String[]) - Method in class opennlp.tools.namefind.RegexNameFinder
 
find(String[]) - Method in interface opennlp.tools.namefind.TokenNameFinder
Generates name tags for the given sequence, typically a sentence, returning token spans for any identified names.
find(CAS, String[]) - Method in class opennlp.uima.namefind.DictionaryNameFinder
 
find(CAS, String[]) - Method in class opennlp.uima.namefind.NameFinder
 
finishUsingModel() - Method in class opennlp.maxent.ModelReplacementManager
Inform the manager that a thread is done using the model, and thus is not dependending on it being unchanged.
first() - Method in interface opennlp.tools.util.Heap
Returns the smallest element of the heap.
first() - Method in class opennlp.tools.util.ListHeap
 
first() - Method in class opennlp.tools.util.TreeHeap
Deprecated.
 
firstChild(Parse, Parse) - Method in class opennlp.tools.parser.chunking.ParserEventStream
Returns true if the specified child is the first child of the specified parent.
firstPersonPronounPattern - Static variable in class opennlp.tools.coref.resolver.ResolverUtils
Regular expression for English first person pronouns.
FixedNonReferentialResolver - Class in opennlp.tools.coref.resolver
Implementation of non-referential classifier which uses a fixed-value threshold.
FixedNonReferentialResolver(double) - Constructor for class opennlp.tools.coref.resolver.FixedNonReferentialResolver
 
fixPossesives - Variable in class opennlp.tools.parser.AbstractParserEventStream
 
fixPossesives(Parse) - Static method in class opennlp.tools.parser.Parse
 
FMeasure - Class in opennlp.tools.util.eval
The FMeasure is an utility class for evaluators which measure precision, recall and the resulting f-measure.
FMeasure() - Constructor for class opennlp.tools.util.eval.FMeasure
 
FullParseCorefEnhancerStream - Class in opennlp.tools.formats.muc
 
FullParseCorefEnhancerStream(Parser, ObjectStream<RawCorefSample>) - Constructor for class opennlp.tools.formats.muc.FullParseCorefEnhancerStream
 
Function - Interface in opennlp.maxent.quasinewton
interface for a function.

G

GapLabeler - Interface in opennlp.tools.parser
Interface for labeling nodes which contain traces so that these traces can be predicted by the parser.
Gender - Class in opennlp.tools.coref.sim
Class which models the gender of an entity and the confidence of that association.
Gender(GenderEnum, double) - Constructor for class opennlp.tools.coref.sim.Gender
 
genderDistribution(Context) - Method in class opennlp.tools.coref.sim.GenderModel
 
genderDistribution(Context) - Method in interface opennlp.tools.coref.sim.TestGenderModel
 
GenderEnum - Class in opennlp.tools.coref.sim
Enumeration of gender types.
GenderModel - Class in opennlp.tools.coref.sim
Class which models the gender of a particular mentions and entities made up of mentions.
GENERATE_CELLLINE_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
 
GENERATE_CELLTYPE_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
 
GENERATE_DNA_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
 
GENERATE_LOCATION_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
 
GENERATE_MISC_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
 
GENERATE_ORGANIZATION_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
 
GENERATE_PERSON_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
 
GENERATE_PROTEIN_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
 
GENERATE_RNA_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
 
generateEvents(String[], String[], NameContextGenerator) - Static method in class opennlp.tools.namefind.NameFinderEventStream
 
generateEvents(String[], String[], Object[], POSContextGenerator) - Static method in class opennlp.tools.postag.POSSampleEventStream
 
generateEvents(String[], String[], POSContextGenerator) - Static method in class opennlp.tools.postag.POSSampleEventStream
 
generateOutcomes(Span[], String, int) - Static method in class opennlp.tools.namefind.NameFinderEventStream
Generates the name tag outcomes (start, continue, other) for each token in a sentence with the specified length using the specified name spans.
GeneratorFactory - Class in opennlp.tools.util.featuregen
Creates a set of feature generators based on a provided XML descriptor.
GeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.GeneratorFactory
 
GenericModelReader - Class in opennlp.model
 
GenericModelReader(File) - Constructor for class opennlp.model.GenericModelReader
 
GenericModelReader(DataReader) - Constructor for class opennlp.model.GenericModelReader
 
GenericModelSerializer - Class in opennlp.tools.util.model
 
GenericModelSerializer() - Constructor for class opennlp.tools.util.model.GenericModelSerializer
 
GenericModelWriter - Class in opennlp.model
 
GenericModelWriter(AbstractModel, File) - Constructor for class opennlp.model.GenericModelWriter
 
GenericModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.model.GenericModelWriter
 
get(int) - Method in class opennlp.maxent.IntegerPool
Returns the shared Integer wrapper for value if it is inside the range managed by this pool.
get(T) - Method in class opennlp.model.IndexHashTable
Retrieves the index for the specified key.
get(Object) - Method in class opennlp.tools.util.Cache
 
get(Object, int) - Method in class opennlp.tools.util.HashList
 
get(StringList) - Method in class opennlp.uima.normalizer.StringDictionary
 
getAbbreviationDictionary() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
 
getAbbreviationDictionary() - Method in class opennlp.tools.tokenize.TokenizerFactory
Gets the abbreviation dictionary
getAbbreviations() - Method in class opennlp.tools.sentdetect.SentenceModel
 
getAbbreviations() - Method in class opennlp.tools.tokenize.TokenizerModel
 
getAccuracy() - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getAccuracy() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator
Retrieves the accuracy of provided DocumentCategorizer.
getAcronymFeatures(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.ProperNounResolver
 
getAddictionalContext() - Method in class opennlp.tools.postag.POSSample
 
getAdditionalContext() - Method in class opennlp.tools.namefind.NameSample
 
getAllOutcomes(double[]) - Method in class opennlp.model.AbstractModel
Return a string matching all the outcome names with all the probabilities produced by the eval(String[] context) method.
getAllOutcomes(double[]) - Method in interface opennlp.model.MaxentModel
Return a string matching all the outcome names with all the probabilities produced by the eval(String[] context) method.
getAllResults(double[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer
 
getAllResults(double[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
 
getAlphanumeric(String) - Method in class opennlp.tools.tokenize.lang.Factory
Gets the alpha numeric pattern for the language.
getAlphaNumericPattern() - Method in class opennlp.tools.tokenize.TokenizerFactory
Gets the alpha numeric pattern.
getAnnotation() - Method in class opennlp.uima.util.AnnotationIteratorPair
 
getArtifact(String) - Method in interface opennlp.tools.util.model.ArtifactProvider
Gets an artifact by name
getArtifact(String) - Method in class opennlp.tools.util.model.BaseModel
 
getArtifactSerializer(String) - Method in class opennlp.tools.util.model.BaseModel
 
getAttachModel() - Method in class opennlp.tools.parser.ParserModel
 
getAttributes() - Method in class opennlp.tools.dictionary.serializer.Entry
Retrieves the Attributes.
getAverageSentenceSize() - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getBasicHelp(Class<T>) - Method in class opennlp.tools.cmdline.CmdLineTool
 
getBasicHelp(Class<T>...) - Method in class opennlp.tools.cmdline.CmdLineTool
 
getBasicHelp(Class<A>...) - Method in class opennlp.tools.cmdline.TypedCmdLineTool
 
getBestCategory(double[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer
 
getBestCategory(double[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
 
getBestOutcome(double[]) - Method in class opennlp.model.AbstractModel
Return the name of the outcome corresponding to the highest likelihood in the parameter ocs.
getBestOutcome(double[]) - Method in interface opennlp.model.MaxentModel
Simple function to return the outcome associated with the index containing the highest probability in the double[].
getBuildModel() - Method in class opennlp.tools.parser.ParserModel
 
getCategory() - Method in class opennlp.tools.coref.DiscourseEntity
Returns the semantic category of this entity.
getCategory(int) - Method in interface opennlp.tools.doccat.DocumentCategorizer
 
getCategory(int) - Method in class opennlp.tools.doccat.DocumentCategorizerME
 
getCategory() - Method in class opennlp.tools.doccat.DocumentSample
 
getCheckModel() - Method in class opennlp.tools.parser.ParserModel
 
getChildCount() - Method in class opennlp.tools.parser.Parse
Returns the number of children for this parse node.
getChildren() - Method in class opennlp.tools.coref.mention.DefaultParse
 
getChildren() - Method in interface opennlp.tools.coref.mention.Parse
Returns a list of the children to this object.
getChildren() - Method in class opennlp.tools.parser.Parse
Returns the child constituents of this constituent .
getChunkerModel() - Method in class opennlp.tools.chunker.ChunkerModel
 
getChunkerModel() - Method in class opennlp.tools.doccat.DoccatModel
 
getChunkTag(ADSentenceStream.SentenceParser.Leaf) - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
 
getChunkTag(ADSentenceStream.SentenceParser.Node) - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
 
getCode() - Method in exception opennlp.tools.cmdline.TerminateToolException
 
getCommonNounResolverModel() - Method in class opennlp.tools.coref.CorefModel
 
getCommonParent(Parse) - Method in class opennlp.tools.parser.Parse
Returns the deepest shared parent of this node and the specified node.
getCompatibilityFeatures(MentionContext, DiscourseEntity, TestSimilarityModel) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
Returns features indicating whether the specified mention and the specified entity are compatible.
getConfidence() - Method in class opennlp.tools.coref.sim.Gender
 
getConfidence() - Method in class opennlp.tools.coref.sim.Number
 
getConfidence() - Method in class opennlp.tools.coref.sim.SemanticCompatibility
 
getConfusionMatrix() - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getConfusionMatrix(String) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getConfusionMatrixTagset() - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getConfusionMatrixTagset(String) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getConstantInverse() - Method in class opennlp.model.EvalParameters
 
getContext(Object) - Method in class opennlp.maxent.BasicContextGenerator
Builds up the list of contextual predicates given a String.
getContext(Object) - Method in interface opennlp.maxent.ContextGenerator
Builds up the list of contextual predicates given an Object.
getContext() - Method in class opennlp.model.Event
 
getContext(int, String[], String[], String[]) - Method in interface opennlp.tools.chunker.ChunkerContextGenerator
Returns the contexts for chunking of the specified index.
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator
 
getContext(int, String[], String[], String[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator
 
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
Return the context for finding names at the specified index.
getContext(Object) - Method in class opennlp.tools.parser.ChunkContextGenerator
 
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.parser.ChunkContextGenerator
 
getContext(int, String[], String[], String[]) - Method in class opennlp.tools.parser.ChunkContextGenerator
 
getContext(Object) - Method in class opennlp.tools.parser.chunking.BuildContextGenerator
 
getContext(Parse[], int) - Method in class opennlp.tools.parser.chunking.BuildContextGenerator
Returns the predictive context used to determine how constituent at the specified index should be combined with other contisuents.
getContext(Object) - Method in class opennlp.tools.parser.chunking.CheckContextGenerator
 
getContext(Parse[], String, int, int) - Method in class opennlp.tools.parser.chunking.CheckContextGenerator
Returns predictive context for deciding whether the specified constituents between the specified start and end index can be combined to form a new constituent of the specified type.
getContext(Object) - Method in class opennlp.tools.parser.treeinsert.AttachContextGenerator
 
getContext(Parse[], int, List<Parse>, int) - Method in class opennlp.tools.parser.treeinsert.AttachContextGenerator
 
getContext(Object) - Method in class opennlp.tools.parser.treeinsert.BuildContextGenerator
 
getContext(Parse[], int) - Method in class opennlp.tools.parser.treeinsert.BuildContextGenerator
Returns the contexts/features for the decision to build a new constituent for the specified parse at the specified index.
getContext(Object) - Method in class opennlp.tools.parser.treeinsert.CheckContextGenerator
 
getContext(Parse, Parse[], int, boolean) - Method in class opennlp.tools.parser.treeinsert.CheckContextGenerator
 
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.postag.DefaultPOSContextGenerator
 
getContext(int, Object[], String[]) - Method in class opennlp.tools.postag.DefaultPOSContextGenerator
Returns the context for making a pos tag decision at the specified token index given the specified tokens and previous tags.
getContext(int, String[], String[], Object[]) - Method in interface opennlp.tools.postag.POSContextGenerator
 
getContext(CharSequence, int) - Method in class opennlp.tools.sentdetect.DefaultSDContextGenerator
 
getContext(CharSequence, int) - Method in interface opennlp.tools.sentdetect.SDContextGenerator
Returns an array of contextual features for the potential sentence boundary at the specified position within the specified string buffer.
getContext(String, int) - Method in class opennlp.tools.tokenize.DefaultTokenContextGenerator
 
getContext(String, int) - Method in interface opennlp.tools.tokenize.TokenContextGenerator
Returns an array of features for the specified sentence string at the specified index.
getContext(int, T[], String[], Object[]) - Method in interface opennlp.tools.util.BeamSearchContextGenerator
Returns the context for the specified position in the specified sequence (list).
getContextFeatures(MentionContext) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
Returns a list of features based on the surrounding context of the specified mention.
getContextGenerator() - Method in class opennlp.tools.chunker.ChunkerFactory
 
getContextGenerator() - Method in class opennlp.tools.tokenize.TokenizerFactory
Gets the context generator
getContexts() - Method in class opennlp.model.AbstractDataIndexer
 
getContexts() - Method in interface opennlp.model.DataIndexer
Returns the array of predicates seen in each event.
getCorrectionConstant() - Method in class opennlp.maxent.io.GISModelReader
 
getCorrectionConstant() - Method in class opennlp.model.EvalParameters
 
getCorrectionParam() - Method in class opennlp.model.EvalParameters
 
getCorrectionParameter() - Method in class opennlp.maxent.io.GISModelReader
 
getCount(StringList) - Method in class opennlp.tools.ngram.NGramModel
Retrieves the count of the given ngram.
getCount(E) - Method in class opennlp.tools.util.CountedSet
Return the count of the specified object.
getCoveredText() - Method in class opennlp.tools.parser.Parse
 
getCoveredText(CharSequence) - Method in class opennlp.tools.util.Span
Retrieves the string covered by the current span of the specified text.
getCurrPoint() - Method in class opennlp.maxent.quasinewton.LineSearchResult
 
getCutoff() - Method in interface opennlp.tools.cmdline.params.BasicTrainingParams
 
getData() - Method in interface opennlp.tools.cmdline.params.BasicFormatParams
 
getDataStructures() - Method in class opennlp.model.AbstractModel
Provides the fundamental data structures which encode the maxent model information.
getDataStructures() - Method in interface opennlp.model.MaxentModel
Returns the data structures relevant to storing the model.
getDefaultFactory() - Method in class opennlp.tools.chunker.ChunkerModel
 
getDefaultFactory() - Method in class opennlp.tools.postag.POSModel
 
getDefaultFactory() - Method in class opennlp.tools.sentdetect.SentenceModel
 
getDefaultFactory() - Method in class opennlp.tools.tokenize.TokenizerModel
 
getDefaultFactory() - Method in class opennlp.tools.util.model.BaseModel
Sub-classes should override this method if their module has a default BaseToolFactory sub-class.
getDefiniteNounResolverModel() - Method in class opennlp.tools.coref.CorefModel
 
getDerivation() - Method in class opennlp.tools.parser.Parse
Returns the derivation string for this parse if one has been created.
getDetailedF() - Method in interface opennlp.tools.cmdline.params.DetailedFMeasureEvaluatorParams
 
getDetokenizer() - Method in interface opennlp.tools.cmdline.params.DetokenizerParameter
 
getDictionary() - Static method in class opennlp.tools.coref.mention.DictionaryFactory
Returns the default implementation of the Dictionary interface.
getDictionary() - Method in class opennlp.tools.postag.POSTaggerFactory
 
getDistanceFeatures(MentionContext, DiscourseEntity) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
Returns distance features for the specified mention and entity.
getDocument() - Method in class opennlp.tools.sentdetect.SentenceSample
Retrieves the document.
getDomainDimension() - Method in interface opennlp.maxent.quasinewton.Function
 
getDomainDimension() - Method in class opennlp.maxent.quasinewton.LogLikelihoodFunction
 
getDoubleParameter(String, String[]) - Static method in class opennlp.tools.cmdline.CmdLineUtil
Retrieves the specified parameter from the specified arguments.
getElement(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser
Parse a tree element from a AD line
getElements() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
 
getEncoding() - Method in interface opennlp.tools.cmdline.params.EncodingParameter
 
getEnd() - Method in class opennlp.tools.util.Span
Return the end of a span.
getEndOfSentenceCharacters() - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
 
getEndOfSentenceCharacters() - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner
Returns an array of character which can indicate the end of a sentence.
getEndOfSentenceScanner() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
 
getEntities(Mention[]) - Method in class opennlp.tools.coref.AbstractLinker
 
getEntities() - Method in class opennlp.tools.coref.DiscourseModel
Returns the entities in the discourse model.
getEntities(Mention[]) - Method in interface opennlp.tools.coref.Linker
Returns a list of entities which group the mentions into entity classes.
getEntity(int) - Method in class opennlp.tools.coref.DiscourseModel
Returns the entity at the specified index.
getEntityId() - Method in class opennlp.tools.coref.mention.DefaultParse
 
getEntityId() - Method in interface opennlp.tools.coref.mention.Parse
Returns an entity id associated with this parse and coreferent parses.
getEntityType() - Method in class opennlp.tools.coref.mention.DefaultParse
 
getEntityType() - Method in interface opennlp.tools.coref.mention.Parse
Returns the named-entity type of this node.
getEOSCharacters(String) - Method in class opennlp.tools.sentdetect.lang.Factory
 
getEOSCharacters() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
 
getEosCharacters() - Method in class opennlp.tools.sentdetect.SentenceModel
 
getEventCollector(Reader) - Method in interface opennlp.maxent.Evalable
Returns the EventCollector that is used to collect all relevant information from the data file.
getEvents() - Method in interface opennlp.model.EventCollector
Return the events which this EventCollector has gathered.
getEvents(boolean) - Method in interface opennlp.model.EventCollector
Return the events which this EventCollector has gathered based on whether we wish to train a model or evaluate one based on those events.
getEvents() - Method in class opennlp.model.Sequence
Returns the events which make up this sequence.
getExactMatchFeature(MentionContext, MentionContext) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
 
getFactories(Class<T>) - Static method in class opennlp.tools.cmdline.StreamFactoryRegistry
Returns all factories which produce objects of sampleClass class.
getFactory() - Method in class opennlp.tools.chunker.ChunkerModel
 
getFactory(Class<T>, String) - Static method in class opennlp.tools.cmdline.StreamFactoryRegistry
Returns a factory which reads format named formatName and instantiates streams producing objects of sampleClass class.
getFactory() - Method in class opennlp.tools.postag.POSModel
 
getFactory() - Method in class opennlp.tools.sentdetect.SentenceModel
 
getFactory() - Method in class opennlp.tools.tokenize.TokenizerModel
 
getFctEvalCount() - Method in class opennlp.maxent.quasinewton.LineSearchResult
 
getFeatures(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.CommonNounResolver
 
getFeatures(MentionContext) - Method in class opennlp.tools.coref.resolver.DefaultNonReferentialResolver
 
getFeatures(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.DefiniteNounResolver
 
getFeatures(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.IsAResolver
 
getFeatures(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.MaxentResolver
Returns a list of features for deciding whether the specified mention refers to the specified discourse entity.
getFeatures(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.PluralNounResolver
 
getFeatures(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.PluralPronounResolver
 
getFeatures(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.ProperNounResolver
 
getFeatures(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.SingularPronounResolver
 
getFeatures(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.SpeechPronounResolver
 
getFemaleIndex() - Method in class opennlp.tools.coref.sim.GenderModel
 
getFemaleIndex() - Method in interface opennlp.tools.coref.sim.TestGenderModel
 
getFemaleNames() - Method in class opennlp.tools.coref.CorefModel
 
getFirstToken() - Method in class opennlp.tools.coref.mention.MentionContext
Returns the parse for the first token in this mention.
getFirstTokenTag() - Method in class opennlp.tools.coref.mention.MentionContext
Returns the pos-tag of the first token of this mention.
getFirstTokenText() - Method in class opennlp.tools.coref.mention.MentionContext
Returns the text for the first token of the mention.
getFMeasure() - Method in class opennlp.tools.chunker.ChunkerCrossValidator
 
getFMeasure() - Method in class opennlp.tools.chunker.ChunkerEvaluator
 
getFMeasure() - Method in class opennlp.tools.namefind.TokenNameFinderCrossValidator
 
getFMeasure() - Method in class opennlp.tools.namefind.TokenNameFinderEvaluator
 
getFMeasure() - Method in class opennlp.tools.sentdetect.SDCrossValidator
 
getFMeasure() - Method in class opennlp.tools.sentdetect.SentenceDetectorEvaluator
 
getFMeasure() - Method in class opennlp.tools.tokenize.TokenizerCrossValidator
 
getFMeasure() - Method in class opennlp.tools.tokenize.TokenizerEvaluator
 
getFMeasure() - Method in class opennlp.tools.util.eval.FMeasure
Retrieves the f-measure score.
getFolds() - Method in interface opennlp.tools.cmdline.params.CVParams
 
getFrontierNodes(List<Parse>, Parse[]) - Method in class opennlp.tools.parser.AbstractContextGenerator
Populates specified nodes array with left-most right frontier node with a unique head.
getFunctionalTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
 
getGender() - Method in class opennlp.tools.coref.DiscourseEntity
Returns the gender associated with this entity.
getGender() - Method in class opennlp.tools.coref.mention.MentionContext
Returns the gender of this mention.
getGenderCompatibilityFeature(MentionContext, DiscourseEntity) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
 
getGenderProb() - Method in class opennlp.tools.coref.mention.MentionContext
Returns the probability associated with the gender assignment.
getGenderProbability() - Method in class opennlp.tools.coref.DiscourseEntity
Returns the probability for the gender associated with this entity.
getGenerators() - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
Retrieves a Collections of all aggregated AdaptiveFeatureGenerators.
getGradAtCurr() - Method in class opennlp.maxent.quasinewton.LineSearchResult
 
getGradAtNext() - Method in class opennlp.maxent.quasinewton.LineSearchResult
 
getHead(Parse) - Method in interface opennlp.tools.coref.mention.HeadFinder
Returns the child parse which contains the lexical head of the specified parse.
getHead() - Method in class opennlp.tools.coref.mention.MentionContext
 
getHead(Parse) - Method in class opennlp.tools.coref.mention.PTBHeadFinder
 
getHead(MentionContext) - Method in class opennlp.tools.coref.resolver.AbstractResolver
Returns the head parse for the specified mention.
getHead(Parse[], String) - Method in interface opennlp.tools.parser.HeadRules
Returns the head constituent for the specified constituents of the specified type.
getHead(Parse[], String) - Method in class opennlp.tools.parser.lang.en.HeadRules
 
getHead() - Method in class opennlp.tools.parser.Parse
Returns the head constituent associated with this constituent.
getHeadFinder() - Method in class opennlp.tools.coref.AbstractLinker
 
getHeadFinder() - Method in interface opennlp.tools.coref.Linker
Returns the head finder associated with this linker.
getHeadIndex(Parse) - Method in interface opennlp.tools.coref.mention.HeadFinder
Returns which index the specified list of token is the head word.
getHeadIndex(Parse) - Method in class opennlp.tools.coref.mention.PTBHeadFinder
 
getHeadIndex(MentionContext) - Method in class opennlp.tools.coref.resolver.AbstractResolver
Returns the index for the head word for the specified mention.
getHeadIndex() - Method in class opennlp.tools.parser.Parse
Returns the index within a sentence of the head token for this parse.
getHeadRules() - Method in class opennlp.tools.parser.ParserModel
 
getHeadSpan() - Method in class opennlp.tools.coref.mention.Mention
Returns the character offsets for the head of this extent.
getHeadString(MentionContext) - Method in class opennlp.tools.coref.resolver.AbstractResolver
Returns the text of the head word for the specified mention.
getHeadText() - Method in class opennlp.tools.coref.mention.MentionContext
 
getHeadToken(Parse) - Method in interface opennlp.tools.coref.mention.HeadFinder
Returns head token for the specified np parse.
getHeadToken(Parse) - Method in class opennlp.tools.coref.mention.PTBHeadFinder
 
getHeadTokenIndex() - Method in class opennlp.tools.coref.sim.Context
Returns the token index into the mention for the head word.
getHeadTokenParse() - Method in class opennlp.tools.coref.mention.MentionContext
Returns the parse of the head token for this mention.
getHeadTokenTag() - Method in class opennlp.tools.coref.sim.Context
 
getHeadTokenText() - Method in class opennlp.tools.coref.sim.Context
 
getHelp() - Method in class opennlp.tools.cmdline.AbstractConverterTool
 
getHelp(String) - Method in class opennlp.tools.cmdline.AbstractConverterTool
 
getHelp(String) - Method in class opennlp.tools.cmdline.AbstractTypedParamTool
 
getHelp() - Method in class opennlp.tools.cmdline.chunker.ChunkerMETool
 
getHelp() - Method in class opennlp.tools.cmdline.CmdLineTool
Retrieves a description on how to use the tool.
getHelp() - Method in class opennlp.tools.cmdline.coref.CoreferencerTool
 
getHelp() - Method in class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
 
getHelp() - Method in class opennlp.tools.cmdline.doccat.DoccatTool
 
getHelp() - Method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
 
getHelp() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTool
 
getHelp() - Method in class opennlp.tools.cmdline.parser.ParserTool
 
getHelp() - Method in class opennlp.tools.cmdline.parser.TaggerModelReplacerTool
 
getHelp() - Method in class opennlp.tools.cmdline.postag.POSTaggerTool
 
getHelp() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool
 
getHelp() - Method in class opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool
 
getHelp() - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
 
getHelp() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMETool
 
getHelp() - Method in class opennlp.tools.cmdline.TypedCmdLineTool
 
getHelp(String) - Method in class opennlp.tools.cmdline.TypedCmdLineTool
Retrieves a description on how to use the tool.
getId() - Method in class opennlp.tools.coref.DiscourseElement
Returns the id associated with this element.
getId() - Method in class opennlp.tools.coref.mention.Mention
Returns the id associated with this mention.
getIndex(String) - Method in class opennlp.model.AbstractModel
Gets the index associated with the String name of the given outcome.
getIndex(String) - Method in interface opennlp.model.MaxentModel
Gets the index associated with the String name of the given outcome.
getIndex(String) - Method in interface opennlp.tools.doccat.DocumentCategorizer
 
getIndex(String) - Method in class opennlp.tools.doccat.DocumentCategorizerME
 
getIndexSpan() - Method in class opennlp.tools.coref.mention.MentionContext
Returns a sentence-based token span for this mention.
getInitialChunks(Parse) - Static method in class opennlp.tools.parser.AbstractParserEventStream
 
getInitialChunks(Parse) - Static method in class opennlp.tools.parser.ChunkSampleStream
 
getInitialObject(double, double[], double[], int) - Static method in class opennlp.maxent.quasinewton.LineSearchResult
 
getInitialObject(double, double[], double[]) - Static method in class opennlp.maxent.quasinewton.LineSearchResult
 
getInitialPoint() - Method in class opennlp.maxent.quasinewton.LogLikelihoodFunction
 
getInstance() - Static method in class opennlp.tools.coref.mention.PTBHeadFinder
Returns an instance of this head finder.
getInstance(HeadFinder) - Static method in class opennlp.tools.coref.mention.PTBMentionFinder
Retrives the one and only existing instance.
getInstance(HeadFinder) - Static method in class opennlp.tools.coref.mention.ShallowParseMentionFinder
Retrieves the one and only existing instance.
getInstance(String, ResolverMode) - Static method in class opennlp.tools.coref.resolver.SingletonNonReferentialResolver
 
getIntParameter(String, String[]) - Static method in class opennlp.tools.cmdline.CmdLineUtil
Retrieves the specified parameter from the specified arguments.
getIterations() - Method in interface opennlp.tools.cmdline.params.BasicTrainingParams
 
getLabel() - Method in class opennlp.tools.parser.Constituent
Returns the label of the constituent.
getLabel() - Method in class opennlp.tools.parser.Parse
Returns the label assigned to this parse node during parsing which specifies how this node will be formed into a constituent.
getLang() - Method in interface opennlp.tools.cmdline.params.LanguageParams
 
getLang() - Method in class opennlp.tools.formats.AbstractSampleStreamFactory
 
getLang() - Method in class opennlp.tools.formats.LanguageSampleStreamFactory
 
getLanguage() - Method in interface opennlp.tools.util.model.ArtifactProvider
Retrieves the language code of the material which was used to train the model or x-unspecified if non was set.
getLanguage() - Method in class opennlp.tools.util.model.BaseModel
Retrieves the language code of the material which was used to train the model or x-unspecified if non was set.
getLanguageCode() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
 
getLanguageCode() - Method in class opennlp.tools.tokenize.TokenizerFactory
Gets the language code
getLastExtent() - Method in class opennlp.tools.coref.DiscourseElement
Returns the last mention for this element.
getLastHead(Parse) - Method in interface opennlp.tools.coref.mention.HeadFinder
Returns the parse bottom-most head of a Parse.
getLastHead(Parse) - Method in class opennlp.tools.coref.mention.PTBHeadFinder
Returns the bottom-most head of a Parse.
getLemma() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
 
getLemmas(String, String) - Method in interface opennlp.tools.coref.mention.Dictionary
Returns the lemmas of the specified word with the specified part-of-speech.
getLemmas(String, String) - Method in class opennlp.tools.coref.mention.JWNLDictionary
 
getLevel() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
 
getLexeme() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
 
getMajor() - Method in class opennlp.tools.util.Version
Retrieves the major version.
getMaleIndex() - Method in class opennlp.tools.coref.sim.GenderModel
 
getMaleIndex() - Method in interface opennlp.tools.coref.sim.TestGenderModel
 
getMaleNames() - Method in class opennlp.tools.coref.CorefModel
 
getManifestProperty(String) - Method in interface opennlp.tools.util.model.ArtifactProvider
Retrieves the value to the given key from the manifest.properties entry.
getManifestProperty(String) - Method in class opennlp.tools.util.model.BaseModel
Retrieves the value to the given key from the manifest.properties entry.
getMaxentModel() - Method in class opennlp.tools.sentdetect.SentenceModel
 
getMaxentModel() - Method in class opennlp.tools.tokenize.TokenizerModel
 
getMaxNounPhraseSentenceIndex() - Method in class opennlp.tools.coref.mention.MentionContext
Returns the index of the last noun phrase in the sentence containing this mention.
getMaxSentenceSize() - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getMaxTokenCount() - Method in class opennlp.tools.dictionary.Dictionary
 
getMentionCountFeature(DiscourseEntity) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
 
getMentionFinder() - Method in class opennlp.tools.coref.AbstractLinker
 
getMentionFinder() - Method in interface opennlp.tools.coref.Linker
Returns the mention finder for this linker.
getMentions() - Method in class opennlp.tools.coref.DiscourseElement
Returns an iterator over the mentions which iterates through them based on their occurrence in the document.
getMentions(Parse) - Method in class opennlp.tools.coref.mention.AbstractMentionFinder
 
getMentions(Parse) - Method in interface opennlp.tools.coref.mention.MentionFinder
Returns an array of mentions.
getMentions() - Method in class opennlp.tools.formats.muc.RawCorefSample
 
getMessage() - Method in exception opennlp.tools.cmdline.TerminateToolException
 
getMetadata() - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
 
getMinor() - Method in class opennlp.tools.util.Version
Retrieves the minor version.
getMinSentenceSize() - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getMinTokenCount() - Method in class opennlp.tools.dictionary.Dictionary
 
getMisclassified() - Method in interface opennlp.tools.cmdline.params.CVParams
 
getMisclassified() - Method in interface opennlp.tools.cmdline.params.EvaluatorParams
 
getModel(ModelDomain) - Method in class opennlp.maxent.DomainToModelMap
Get the model mapped to by the given ModelDomain key.
getModel() - Method in class opennlp.model.AbstractModelReader
 
getModel() - Method in interface opennlp.tools.cmdline.params.EvaluatorParams
 
getModel() - Method in interface opennlp.tools.cmdline.params.TrainingToolParams
 
getModel() - Method in interface opennlp.uima.chunker.ChunkerModelResource
 
getModel() - Method in class opennlp.uima.chunker.ChunkerModelResourceImpl
 
getModel() - Method in interface opennlp.uima.doccat.DoccatModelResource
 
getModel() - Method in class opennlp.uima.doccat.DoccatModelResourceImpl
 
getModel() - Method in interface opennlp.uima.namefind.TokenNameFinderModelResource
 
getModel() - Method in class opennlp.uima.namefind.TokenNameFinderModelResourceImpl
 
getModel() - Method in interface opennlp.uima.parser.ParserModelResource
 
getModel() - Method in class opennlp.uima.parser.ParserModelResourceImpl
 
getModel() - Method in interface opennlp.uima.postag.POSModelResource
 
getModel() - Method in class opennlp.uima.postag.POSModelResourceImpl
 
getModel() - Method in interface opennlp.uima.sentdetect.SentenceModelResource
 
getModel() - Method in class opennlp.uima.sentdetect.SentenceModelResourceImpl
 
getModel() - Method in interface opennlp.uima.tokenize.TokenizerModelResource
Retrieves the shared model instance.
getModel() - Method in class opennlp.uima.tokenize.TokenizerModelResourceImpl
 
getModelType() - Method in class opennlp.model.AbstractModel
 
getMorphologicalTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
 
getName() - Method in interface opennlp.maxent.ModelDomain
Get the name of this domain.
getName() - Method in class opennlp.tools.cmdline.chunker.ChunkerTrainerTool
 
getName() - Method in class opennlp.tools.cmdline.CmdLineTool
Retrieves the name of the training data tool.
getNamedEntities(Parse) - Method in class opennlp.tools.coref.mention.AbstractMentionFinder
Return all noun phrases which are contained by p.
getNamedEntities() - Method in class opennlp.tools.coref.mention.DefaultParse
 
getNamedEntities() - Method in interface opennlp.tools.coref.mention.Parse
Returns a list of all the named entities contained by this parse.
getNameFinderModel() - Method in class opennlp.tools.namefind.TokenNameFinderModel
Retrieves the TokenNameFinder model.
getNames() - Method in class opennlp.tools.namefind.NameSample
 
getNameType() - Method in class opennlp.tools.coref.mention.Mention
Returns the named-entity category associated with this mention.
getNegativeOutcome() - Method in interface opennlp.maxent.Evalable
The outcome that should be considered a negative result.
getNeuterIndex() - Method in class opennlp.tools.coref.sim.GenderModel
 
getNeuterIndex() - Method in interface opennlp.tools.coref.sim.TestGenderModel
 
getNextPoint() - Method in class opennlp.maxent.quasinewton.LineSearchResult
 
getNextPunctuationSet() - Method in class opennlp.tools.parser.Parse
Returns the set of punctuation parses that occur immediately after this parse.
getNextToken() - Method in class opennlp.tools.coref.mention.DefaultParse
 
getNextToken() - Method in class opennlp.tools.coref.mention.MentionContext
 
getNextToken() - Method in interface opennlp.tools.coref.mention.Parse
Returns the next token which is not a child of this parse.
getNextTokenBasal() - Method in class opennlp.tools.coref.mention.MentionContext
 
getNgramDictionary() - Method in class opennlp.tools.postag.POSModel
Retrieves the ngram dictionary.
getNonDescriptorStart() - Method in class opennlp.tools.coref.mention.MentionContext
 
getNonReferentialFeatures(MentionContext) - Method in class opennlp.tools.coref.resolver.DefaultNonReferentialResolver
Returns a list of features used to predict whether the specified mention is non-referential.
getNonReferentialProbability(MentionContext) - Method in class opennlp.tools.coref.resolver.DefaultNonReferentialResolver
 
getNonReferentialProbability(MentionContext) - Method in class opennlp.tools.coref.resolver.FixedNonReferentialResolver
 
getNonReferentialProbability(MentionContext) - Method in interface opennlp.tools.coref.resolver.NonReferentialResolver
Returns the probability that the specified mention doesn't refer to any previous mention.
getNounPhraseDocumentIndex() - Method in class opennlp.tools.coref.mention.MentionContext
Returns the index of the noun phrase for this mention in a document.
getNounPhrases() - Method in class opennlp.tools.coref.mention.AbstractParse
 
getNounPhrases() - Method in interface opennlp.tools.coref.mention.Parse
Returns a list of the all noun phrases contained by this parse.
getNounPhraseSentenceIndex() - Method in class opennlp.tools.coref.mention.MentionContext
Returns the index of the noun phrase for this mention in a sentence.
getNumber() - Method in class opennlp.tools.coref.DiscourseEntity
Returns the number associated with this entity.
getNumber() - Method in class opennlp.tools.coref.mention.MentionContext
Returns the number of this mention.
getNumber(Context) - Method in class opennlp.tools.coref.sim.NumberModel
 
getNumberCompatibilityFeature(MentionContext, DiscourseEntity) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
 
getNumberModel() - Method in class opennlp.tools.coref.CorefModel
 
getNumberOfCacheHits() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
Retrieves the number of times a cache hit occurred.
getNumberOfCacheMisses() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
Retrieves the number of times a cache miss occurred.
getNumberOfCategories() - Method in interface opennlp.tools.doccat.DocumentCategorizer
 
getNumberOfCategories() - Method in class opennlp.tools.doccat.DocumentCategorizerME
 
getNumberOfSentences() - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getNumberOfTags() - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getNumberProb() - Method in class opennlp.tools.coref.mention.MentionContext
Returns the probability associated with the number assignment.
getNumberProbability() - Method in class opennlp.tools.coref.DiscourseEntity
Returns the probability for the number associated with this entity.
getNumEntities() - Method in class opennlp.tools.coref.DiscourseModel
Returns the number of entities in this discourse model.
getNumEntities() - Method in class opennlp.tools.coref.resolver.AbstractResolver
Returns the number of previous entities that resolver should consider.
getNumEntities(DiscourseModel) - Method in class opennlp.tools.coref.resolver.AbstractResolver
The number of entities that should be considered for resolution with the specified discourse model.
getNumEvents() - Method in class opennlp.model.AbstractDataIndexer
 
getNumEvents() - Method in interface opennlp.model.DataIndexer
Returns the number of total events indexed.
getNumMentions() - Method in class opennlp.tools.coref.DiscourseElement
Returns the number of mentions in this element.
getNumOutcomes() - Method in class opennlp.maxent.quasinewton.QNModel
 
getNumOutcomes() - Method in class opennlp.model.AbstractModel
 
getNumOutcomes() - Method in class opennlp.model.DynamicEvalParameters
 
getNumOutcomes() - Method in class opennlp.model.EvalParameters
 
getNumOutcomes() - Method in interface opennlp.model.MaxentModel
Returns the number of outcomes for this model.
getNumSenses(String, String) - Method in interface opennlp.tools.coref.mention.Dictionary
Returns the number of senses in the dictionary for the specified lemma.
getNumSenses(String, String) - Method in class opennlp.tools.coref.mention.JWNLDictionary
 
getNumTags() - Method in class opennlp.tools.postag.POSTaggerME
Returns the number of different tags predicted by this model.
getNumTimesEventsSeen() - Method in class opennlp.model.AbstractDataIndexer
 
getNumTimesEventsSeen() - Method in interface opennlp.model.DataIndexer
Returns an array indicating the number of times a particular event was seen.
getOptionalBooleanParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
Retrieves an optional parameter from the given context.
getOptionalBooleanParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
Retrieves an optional boolean parameter from the given context.
getOptionalFeature(Type, String, String) - Static method in class opennlp.uima.util.AnnotatorUtil
 
getOptionalFeatureParameter(UimaContext, Type, String, String) - Static method in class opennlp.uima.util.AnnotatorUtil
 
getOptionalFloatParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
Retrieves an optional parameter from the given context.
getOptionalFloatParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
Retrieves an optional boolean parameter from the given context.
getOptionalIntegerParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
Retrieves an optional parameter from the given context.
getOptionalIntegerParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
Retrieves an optional boolean parameter from the given context.
getOptionalIntegerParameter(UimaContext, String, int) - Static method in class opennlp.uima.util.CasConsumerUtil
Retrieves an optional boolean parameter from the given context.
getOptionalResourceAsStream(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
 
getOptionalResourceAsStream(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
 
getOptionalStringArrayParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
 
getOptionalStringArrayParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
 
getOptionalStringParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
Retrieves an optional parameter from the given context.
getOptionalStringParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
Retrieves an optional boolean parameter from the given context.
getOptionalType(TypeSystem, String) - Static method in class opennlp.uima.util.CasConsumerUtil
Retrieves a type from the given type system.
getOptionalTypeParameter(UimaContext, TypeSystem, String) - Static method in class opennlp.uima.util.AnnotatorUtil
 
getOrderedTags(List<String>, List<String>, int) - Method in class opennlp.tools.postag.POSTaggerME
 
getOrderedTags(List<String>, List<String>, int, double[]) - Method in class opennlp.tools.postag.POSTaggerME
 
getOutcome(int) - Method in class opennlp.model.AbstractModel
Return the name of an outcome corresponding to an int id.
getOutcome() - Method in class opennlp.model.Event
 
getOutcome(int) - Method in interface opennlp.model.MaxentModel
Gets the String name of the outcome associated with the index i.
getOutcomeLabels() - Method in class opennlp.maxent.quasinewton.LogLikelihoodFunction
 
getOutcomeLabels() - Method in class opennlp.model.AbstractDataIndexer
 
getOutcomeLabels() - Method in interface opennlp.model.DataIndexer
Returns an array of outcome names.
getOutcomeList() - Method in class opennlp.model.AbstractDataIndexer
 
getOutcomeList() - Method in interface opennlp.model.DataIndexer
Returns an array indicating the outcome index for each event.
getOutcomePatterns() - Method in class opennlp.maxent.quasinewton.LogLikelihoodFunction
 
getOutcomePatterns() - Method in class opennlp.model.AbstractModelReader
 
getOutcomes() - Method in class opennlp.model.AbstractModelReader
 
getOutcomes() - Method in class opennlp.model.Context
Returns the outcomes for which parameters exists for this context.
getOutcomes() - Method in class opennlp.tools.util.Sequence
Returns a list of outcomes for this sequence.
getParameter(String, String[]) - Static method in class opennlp.tools.cmdline.CmdLineUtil
Retrieves the specified parameter from the given arguments.
getParameterIndex(String, String[]) - Static method in class opennlp.tools.cmdline.CmdLineUtil
Returns the index of the parameter in the arguments, or -1 if the parameter is not found.
getParameters(int[][]) - Method in class opennlp.maxent.io.OldFormatGISModelReader
Reads the parameters from a file and populates an array of context objects.
getParameters() - Method in class opennlp.maxent.io.QNModelReader
 
getParameters() - Method in class opennlp.maxent.quasinewton.QNModel
 
getParameters(int[][]) - Method in class opennlp.model.AbstractModelReader
Reads the parameters from a file and populates an array of context objects.
getParameters() - Method in class opennlp.model.Context
Returns the parameters or expected values for the outcomes which occur with this context.
getParameters() - Method in interface opennlp.tools.cmdline.ObjectStreamFactory
Returns interface with parameters description.
getParameters() - Method in class opennlp.tools.formats.AbstractSampleStreamFactory
 
getParameters(String) - Method in class opennlp.tools.util.TrainingParameters
 
getParams() - Method in class opennlp.model.DynamicEvalParameters
 
getParams() - Method in class opennlp.model.EvalParameters
 
getParams() - Method in interface opennlp.tools.cmdline.params.BasicTrainingParams
 
getParent() - Method in class opennlp.tools.coref.mention.DefaultParse
 
getParent() - Method in interface opennlp.tools.coref.mention.Parse
Returns the parent parse of this parse node.
getParent() - Method in class opennlp.tools.parser.Parse
Returns the parent parse node of this constituent.
getParentSenseKeys(String, String, int) - Method in interface opennlp.tools.coref.mention.Dictionary
Returns an array of keys for each parent of the specified sense number of the specified lemma with the specified part-of-speech.
getParentSenseKeys(String, String, int) - Method in class opennlp.tools.coref.mention.JWNLDictionary
 
getParse() - Method in class opennlp.tools.coref.mention.DefaultParse
Retrieves the Parse.
getParse() - Method in class opennlp.tools.coref.mention.Mention
Returns the parse node that this extent is based on.
getParserChunkerModel() - Method in class opennlp.tools.parser.ParserModel
 
getParserTaggerModel() - Method in class opennlp.tools.parser.ParserModel
 
getParserType() - Method in class opennlp.tools.parser.ParserModel
 
getParses() - Method in class opennlp.tools.coref.CorefSample
 
getPhrasesAsSpanList() - Method in class opennlp.tools.chunker.ChunkSample
Gets the phrases as an array of spans
getPhraseTagFromPosTag(String) - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
 
getPluralIndex() - Method in class opennlp.tools.coref.sim.NumberModel
 
getPluralIndex() - Method in interface opennlp.tools.coref.sim.TestNumberModel
 
getPluralNounResolverModel() - Method in class opennlp.tools.coref.CorefModel
 
getPluralPronounResolverModel() - Method in class opennlp.tools.coref.CorefModel
 
getPOSContextGenerator() - Method in class opennlp.tools.postag.POSTaggerFactory
 
getPOSContextGenerator(int) - Method in class opennlp.tools.postag.POSTaggerFactory
 
getPositions(String) - Method in class opennlp.tools.sentdetect.AbstractEndOfSentenceScanner
Deprecated.
 
getPositions(StringBuffer) - Method in class opennlp.tools.sentdetect.AbstractEndOfSentenceScanner
Deprecated.
 
getPositions(char[]) - Method in class opennlp.tools.sentdetect.AbstractEndOfSentenceScanner
Deprecated.
 
getPositions(String) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
 
getPositions(StringBuffer) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
 
getPositions(char[]) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
 
getPositions(String) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner
The receiver scans the specified string for sentence ending characters and returns their offsets.
getPositions(StringBuffer) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner
The receiver scans `buf' for sentence ending characters and returns their offsets.
getPositions(char[]) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner
The receiver scans `cbuf' for sentence ending characters and returns their offsets.
getPosModel() - Method in class opennlp.tools.postag.POSModel
 
getPrecisionScore() - Method in class opennlp.tools.util.eval.FMeasure
Retrieves the arithmetic mean of the precision scores calculated for each evaluated sample.
getPredCounts() - Method in class opennlp.model.AbstractDataIndexer
 
getPredCounts() - Method in interface opennlp.model.DataIndexer
Returns an array of the count of each predicate in the events.
getPredicates() - Method in class opennlp.model.AbstractModelReader
 
getPredLabels() - Method in class opennlp.maxent.quasinewton.LogLikelihoodFunction
 
getPredLabels() - Method in class opennlp.model.AbstractDataIndexer
 
getPredLabels() - Method in interface opennlp.model.DataIndexer
Returns an array of predicate/context names.
getPreds() - Method in class opennlp.tools.chunker.ChunkSample
Gets the Chunk tags in B-* I-* notation
getPrefixes(String) - Static method in class opennlp.tools.postag.DefaultPOSContextGenerator
 
getPrefixes(String) - Static method in class opennlp.tools.util.featuregen.PrefixFeatureGenerator
 
getPreviousPunctuationSet() - Method in class opennlp.tools.parser.Parse
Returns the set of punctuation parses that occur immediately before this parse.
getPreviousToken() - Method in class opennlp.tools.coref.mention.DefaultParse
 
getPreviousToken() - Method in class opennlp.tools.coref.mention.MentionContext
 
getPreviousToken() - Method in interface opennlp.tools.coref.mention.Parse
Returns the first token which is not a child of this parse.
getProb() - Method in class opennlp.tools.parser.Parse
Returns the log of the product of the probability associated with all the decisions which formed this constituent.
getProbs() - Method in class opennlp.tools.util.Sequence
Returns an array of probabilities associated with the outcomes of this sequence.
getProbs(double[]) - Method in class opennlp.tools.util.Sequence
Populates an array with the probabilities associated with the outcomes of this sequence.
getPronounGender(String) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
Returns a string representing the gender of the specified pronoun.
getPronounMatchFeatures(MentionContext, DiscourseEntity) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
Returns features indicating whether the specified mention is compatible with the pronouns of the specified entity.
getProperNounExtent(DiscourseEntity) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
 
getProperNounResolverModel() - Method in class opennlp.tools.coref.CorefModel
 
getPunctuationTags() - Method in interface opennlp.tools.parser.HeadRules
Returns the set of punctuation tags.
getPunctuationTags() - Method in class opennlp.tools.parser.lang.en.HeadRules
 
getRecallScore() - Method in class opennlp.tools.util.eval.FMeasure
Retrieves the arithmetic mean of the recall score calculated for each evaluated sample.
getRecentMentions() - Method in class opennlp.tools.coref.DiscourseElement
Returns an iterator over the mentions which iterates through them based on which were most recently mentioned.
getRequiredBooleanParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
Retrieves a required parameter from the given context.
getRequiredBooleanParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
Retrieves a required boolean parameter from the given context.
getRequiredFeature(Type, String) - Static method in class opennlp.uima.util.AnnotatorUtil
 
getRequiredFeature(Type, String, String) - Static method in class opennlp.uima.util.AnnotatorUtil
Retrieves a required feature from the given type.
getRequiredFeatureParameter(UimaContext, Type, String) - Static method in class opennlp.uima.util.AnnotatorUtil
 
getRequiredFeatureParameter(UimaContext, Type, String, String) - Static method in class opennlp.uima.util.AnnotatorUtil
 
getRequiredFloatParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
Retrieves a required parameter from the given context.
getRequiredFloatParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
Retrieves a required parameter form the given context.
getRequiredIntegerParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
Retrieves a required parameter from the given context.
getRequiredIntegerParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
Retrieves a required parameter form the given context.
getRequiredStringParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
Retrieves a required parameter from the given context.
getRequiredStringParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
Retrieves a required parameter form the given context.
getRequiredTypeParameter(UimaContext, TypeSystem, String) - Static method in class opennlp.uima.util.AnnotatorUtil
 
getResource(String) - Method in interface opennlp.tools.util.featuregen.FeatureGeneratorResourceProvider
Retrieves the resource object for the given name/identifier.
getResourceAsStream(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
Retrieves a resource as stream from the given context.
getResourceAsStream(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
Retrieves a resource as stream from the given context.
getRevision() - Method in class opennlp.tools.util.Version
Retrieves the revision version.
getRightFrontier(Parse, Set<String>) - Static method in class opennlp.tools.parser.treeinsert.Parser
Returns the right frontier of the specified parse tree with nodes ordered from deepest to shallowest.
getRoot() - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
 
getScore() - Method in class opennlp.tools.util.Sequence
Returns the score of this sequence.
getSDContextGenerator() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
 
getSecondaryTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
 
getSemanticCompatibilityFeature(MentionContext, DiscourseEntity, TestSimilarityModel) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
 
getSenseKey(String, String, int) - Method in interface opennlp.tools.coref.mention.Dictionary
Returns a key indicating the specified sense number of the specified lemma with the specified part-of-speech.
getSenseKey(String, String, int) - Method in class opennlp.tools.coref.mention.JWNLDictionary
 
getSentence() - Method in class opennlp.tools.chunker.ChunkSample
Gets the training sentence
getSentence() - Method in class opennlp.tools.namefind.NameSample
 
getSentence() - Method in class opennlp.tools.postag.POSSample
 
getSentenceNumber() - Method in class opennlp.tools.coref.mention.DefaultParse
 
getSentenceNumber() - Method in class opennlp.tools.coref.mention.MentionContext
Returns the index of the sentence which contains this mention.
getSentenceNumber() - Method in interface opennlp.tools.coref.mention.Parse
Returns the index of the sentence which contains this parse.
getSentenceProbabilities() - Method in class opennlp.tools.sentdetect.SentenceDetectorME
Returns the probabilities associated with the most recent calls to sentDetect().
getSentences() - Method in class opennlp.tools.sentdetect.SentenceSample
Retrieves the sentences.
getSequenceValidator() - Method in class opennlp.tools.chunker.ChunkerFactory
 
getSequenceValidator() - Method in class opennlp.tools.postag.POSTaggerFactory
 
getSettings(String) - Method in class opennlp.tools.util.TrainingParameters
Retrieves a map with the training parameters which have the passed name space.
getSettings() - Method in class opennlp.tools.util.TrainingParameters
Retrieves all parameters without a name space.
getShortDescription() - Method in class opennlp.tools.cmdline.AbstractConverterTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerMETool
 
getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerTrainerTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.CmdLineTool
Retrieves a short description of what the tool does.
getShortDescription() - Method in class opennlp.tools.cmdline.coref.CoreferencerTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatTrainerTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderCrossValidatorTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.parser.BuildModelUpdaterTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.parser.CheckModelUpdaterTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.parser.ParserTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.parser.ParserTrainerTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.parser.TaggerModelReplacerTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerEvaluatorTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerTrainerTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorCrossValidatorTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorEvaluatorTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTrainerTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerCrossValidatorTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMEEvaluatorTool
 
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMETool
 
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerTrainerTool
 
getSimModel() - Method in class opennlp.tools.coref.CorefModel
 
getSingularIndex() - Method in class opennlp.tools.coref.sim.NumberModel
 
getSingularIndex() - Method in interface opennlp.tools.coref.sim.TestNumberModel
 
getSingularPronounResolverModel() - Method in class opennlp.tools.coref.CorefModel
 
getSource() - Method in class opennlp.model.Sequence
Returns an object from which this sequence can be derived.
getSpan() - Method in class opennlp.tools.coref.mention.DefaultParse
 
getSpan() - Method in class opennlp.tools.coref.mention.Mention
Returns the character offsets for this extent.
getSpan() - Method in interface opennlp.tools.coref.mention.Parse
Returns the character offsets of this parse node.
getSpan() - Method in class opennlp.tools.parser.Constituent
Returns the span of the constituent.
getSpan() - Method in class opennlp.tools.parser.Parse
Returns the character offsets for this constituent.
getSpeechPronounResolverModel() - Method in class opennlp.tools.coref.CorefModel
 
getStart() - Method in class opennlp.tools.util.Span
Return the start of a span.
getStepSize() - Method in class opennlp.maxent.quasinewton.LineSearchResult
 
getStreamFactory(String) - Method in class opennlp.tools.cmdline.TypedCmdLineTool
Returns stream factory for the type of this tool for the format.
getStringMatchFeatures(MentionContext, DiscourseEntity) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
Returns string-match features for the the specified mention and entity.
getSubIterator() - Method in class opennlp.uima.util.AnnotationIteratorPair
 
getSuffixes(String) - Static method in class opennlp.tools.postag.DefaultPOSContextGenerator
 
getSuffixes(String) - Static method in class opennlp.tools.util.featuregen.SuffixFeatureGenerator
 
getSynsets() - Method in class opennlp.tools.coref.sim.Context
 
getSyntacticChildren() - Method in class opennlp.tools.coref.mention.DefaultParse
 
getSyntacticChildren() - Method in interface opennlp.tools.coref.mention.Parse
Returns a list of the children to this object which are constituents or tokens.
getSyntacticTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
 
getSyntacticType() - Method in class opennlp.tools.coref.mention.DefaultParse
 
getSyntacticType() - Method in interface opennlp.tools.coref.mention.Parse
Returns the syntactic type of this node.
getTagDictionary() - Method in class opennlp.tools.postag.POSModel
getTagDictionary() - Method in class opennlp.tools.postag.POSTaggerFactory
 
getTagErrors(String) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getTagFMeasure(String) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getTagFrequency(String) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getTagNodes() - Method in class opennlp.tools.parser.Parse
Returns the parse nodes which are children of this node and which are pos tags.
getTagPrecision(String) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getTagRecall(String) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getTags() - Method in class opennlp.tools.chunker.ChunkSample
Gets the POS Tags for the sentence
getTags(String) - Method in class opennlp.tools.postag.POSDictionary
Returns a list of valid tags for the specified word.
getTags() - Method in class opennlp.tools.postag.POSSample
 
getTags(String) - Method in interface opennlp.tools.postag.TagDictionary
Returns a list of valid tags for the specified word.
getTagSequenceProb() - Method in class opennlp.tools.parser.Parse
Returns the probability associated with the pos-tag sequence assigned to this parse.
getTagsOrderedByErrors() - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getTestSampleStream() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
Retrieves the ObjectStream over the test/evaluations elements and poisons this TrainingSampleStream.
getText() - Method in class opennlp.tools.doccat.DocumentSample
 
getText() - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
 
getText() - Method in class opennlp.tools.parser.Parse
Returns the text of the sentence over which this parse was formed.
getText() - Method in class opennlp.tools.tokenize.TokenSample
Retrieves the text.
getTexts() - Method in class opennlp.tools.formats.muc.RawCorefSample
 
getToken(int) - Method in class opennlp.tools.util.StringList
Retrieves a token from the given index.
getTokenAccuracy(String) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getTokenErrors(String) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getTokenFrequency(String) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getTokenParses() - Method in class opennlp.tools.coref.mention.MentionContext
Returns the parses for the tokens which are contained in this mention.
getTokenProbabilities() - Method in class opennlp.tools.tokenize.TokenizerME
Returns the probabilities associated with the most recent calls to AbstractTokenizer.tokenize(String) or TokenizerME.tokenizePos(String).
getTokens() - Method in class opennlp.tools.coref.mention.DefaultParse
 
getTokens() - Method in interface opennlp.tools.coref.mention.Parse
Returns a list of the tokens contained by this object.
getTokens() - Method in class opennlp.tools.coref.sim.Context
 
getTokens() - Method in class opennlp.tools.dictionary.serializer.Entry
Retrieves the tokens.
getTokensOrderedByFrequency() - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getTokensOrderedByNumberOfErrors() - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
getTokenSpans() - Method in class opennlp.tools.tokenize.TokenSample
Retrieves the token spans.
getToolNames() - Static method in class opennlp.tools.cmdline.CLI
 
getType() - Method in class opennlp.tools.coref.sim.Gender
 
getType() - Method in class opennlp.tools.coref.sim.Number
 
getType() - Method in class opennlp.tools.coref.sim.SemanticCompatibility
 
getType() - Method in class opennlp.tools.parser.Parse
Returns the constituent label for this node of the parse.
getType() - Method in class opennlp.tools.util.Span
Retrieves the type of the span.
getType(TypeSystem, String) - Static method in class opennlp.uima.util.AnnotatorUtil
Retrieves a type of the given name from the given type system.
getType(TypeSystem, String) - Static method in class opennlp.uima.util.CasConsumerUtil
Retrieves a type from the given type system.
getValue(String) - Method in class opennlp.tools.dictionary.serializer.Attributes
Retrieves the value for the given key or null if attribute it not set.
getValueAtCurr() - Method in class opennlp.maxent.quasinewton.LineSearchResult
 
getValueAtNext() - Method in class opennlp.maxent.quasinewton.LineSearchResult
 
getValues() - Method in class opennlp.model.AbstractDataIndexer
 
getValues() - Method in interface opennlp.model.DataIndexer
Returns the values associated with each event context or null if integer values are to be used.
getValues() - Method in class opennlp.model.Event
 
getValues() - Method in class opennlp.model.OnePassRealValueDataIndexer
 
getVersion() - Method in class opennlp.tools.util.model.BaseModel
Retrieves the OpenNLP version which was used to create the model.
getWordAccuracy() - Method in class opennlp.tools.postag.POSEvaluator
Retrieves the word accuracy.
getWordAccuracy() - Method in class opennlp.tools.postag.POSTaggerCrossValidator
Retrieves the accuracy for all iterations.
getWordCount() - Method in class opennlp.tools.postag.POSEvaluator
Retrieves the total number of words considered in the evaluation.
getWordCount() - Method in class opennlp.tools.postag.POSTaggerCrossValidator
Retrieves the number of words which where validated over all iterations.
getWordFeatures(Parse) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
Returns a list of word features for the specified tokens.
GIS - Class in opennlp.maxent
A Factory class which uses instances of GISTrainer to create and train GISModels.
GIS() - Constructor for class opennlp.maxent.GIS
 
GISModel - Class in opennlp.maxent
A maximum entropy model which has been trained using the Generalized Iterative Scaling procedure (implemented in GIS.java).
GISModel(Context[], String[], String[], int, double) - Constructor for class opennlp.maxent.GISModel
Creates a new model with the specified parameters, outcome names, and predicate/feature labels.
GISModel(Context[], String[], String[], int, double, Prior) - Constructor for class opennlp.maxent.GISModel
Creates a new model with the specified parameters, outcome names, and predicate/feature labels.
GISModelReader - Class in opennlp.maxent.io
Abstract parent class for readers of GISModels.
GISModelReader(File) - Constructor for class opennlp.maxent.io.GISModelReader
 
GISModelReader(DataReader) - Constructor for class opennlp.maxent.io.GISModelReader
 
GISModelWriter - Class in opennlp.maxent.io
Abstract parent class for GISModel writers.
GISModelWriter(AbstractModel) - Constructor for class opennlp.maxent.io.GISModelWriter
 
gradientAt(double[]) - Method in interface opennlp.maxent.quasinewton.DifferentiableFunction
 
gradientAt(double[]) - Method in class opennlp.maxent.quasinewton.LogLikelihoodFunction
 

H

handleStdinIoError(IOException) - Static method in class opennlp.tools.cmdline.CmdLineUtil
 
hashCode() - Method in class opennlp.tools.coref.mention.DefaultParse
 
hashCode() - Method in class opennlp.tools.dictionary.Dictionary
 
hashCode() - Method in class opennlp.tools.ngram.NGramModel
 
hashCode() - Method in class opennlp.tools.parser.Parse
 
hashCode() - Method in class opennlp.tools.util.Span
Generates a hash code of the current span.
hashCode() - Method in class opennlp.tools.util.StringList
 
HashList - Class in opennlp.tools.util
Class which creates mapping between keys and a list of values.
HashList() - Constructor for class opennlp.tools.util.HashList
 
HashSumEventStream - Class in opennlp.model
 
HashSumEventStream(EventStream) - Constructor for class opennlp.model.HashSumEventStream
 
HashSumEventStream - Class in opennlp.tools.util
Deprecated.
HashSumEventStream(EventStream) - Constructor for class opennlp.tools.util.HashSumEventStream
Deprecated.
 
hasNext() - Method in class opennlp.maxent.BasicEventStream
Test whether there are any Events remaining in this EventStream.
hasNext() - Method in interface opennlp.maxent.DataStream
Test whether there are any Events remaining in this EventStream.
hasNext() - Method in class opennlp.maxent.PlainTextByLineDataStream
 
hasNext() - Method in class opennlp.maxent.RealBasicEventStream
 
hasNext() - Method in class opennlp.model.EventCollectorAsStream
 
hasNext() - Method in interface opennlp.model.EventStream
Test whether there are any Events remaining in this EventStream.
hasNext() - Method in class opennlp.model.FileEventStream
 
hasNext() - Method in class opennlp.model.HashSumEventStream
 
hasNext() - Method in class opennlp.model.ListEventStream
 
hasNext() - Method in class opennlp.model.SequenceStreamEventStream
 
hasNext() - Method in class opennlp.tools.chunker.ChunkerEventStream
 
hasNext() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream
 
hasNext() - Method in class opennlp.tools.util.AbstractEventStream
Checks if there are more training events available.
hasNext() - Method in class opennlp.tools.util.CollectionEventStream
 
hasNext() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner
Checks if there are more partitions available.
hasNext() - Method in class opennlp.tools.util.EventTraceStream
 
hasNext() - Method in class opennlp.tools.util.HashSumEventStream
Deprecated.
 
hasNext() - Method in class opennlp.tools.util.ReverseListIterator
 
hasNext() - Method in class opennlp.uima.util.AnnotationComboIterator
 
hasParams() - Method in class opennlp.tools.cmdline.CmdLineTool
Returns whether the tool has any command line params.
hasParams() - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
 
headFinder - Variable in class opennlp.tools.coref.AbstractLinker
The head finder used in this linker.
headFinder - Variable in class opennlp.tools.coref.mention.AbstractMentionFinder
 
HeadFinder - Interface in opennlp.tools.coref.mention
Interface for finding head words in noun phrases and head noun-phrases in parses.
headRules - Variable in class opennlp.tools.parser.AbstractBottomUpParser
The head rules for the parser.
HeadRules - Interface in opennlp.tools.parser
Interface for encoding the head rules associated with parsing.
HeadRules - Class in opennlp.tools.parser.lang.en
Class for storing the English head rules associated with parsing.
HeadRules(String) - Constructor for class opennlp.tools.parser.lang.en.HeadRules
Deprecated.
HeadRules(Reader) - Constructor for class opennlp.tools.parser.lang.en.HeadRules
Creates a new set of head rules based on the specified reader.
headTokenIndex - Variable in class opennlp.tools.coref.sim.Context
The token index in of the head word of this mention.
headTokenTag - Variable in class opennlp.tools.coref.sim.Context
 
headTokenText - Variable in class opennlp.tools.coref.sim.Context
 
Heap<E> - Interface in opennlp.tools.util
Interface for interacting with a Heap data structure.
honorificsPattern - Static variable in class opennlp.tools.coref.resolver.ResolverUtils
Regular expression for English honorifics.

I

ID - Static variable in class opennlp.tools.util.ext.ExtensionServiceKeys
Property key for the unique id which identifies an OSGi OpenNLP extension service.
INC_NODE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
The label for the top if an incomplete node.
INCOMPATIBLE - Static variable in class opennlp.tools.coref.sim.SemanticEnum
Semantically incompatible.
INCOMPLETE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
Outcome used when a constituent is incomplete.
increment() - Method in class opennlp.maxent.Counter
 
incrementCounter(int) - Method in class opennlp.tools.cmdline.PerformanceMonitor
 
incrementCounter() - Method in class opennlp.tools.cmdline.PerformanceMonitor
 
index(LinkedList<Event>, Map<String, Integer>) - Method in class opennlp.model.OnePassDataIndexer
 
index(LinkedList<Event>, Map<String, Integer>) - Method in class opennlp.model.OnePassRealValueDataIndexer
 
Index - Class in opennlp.tools.dictionary
This classes indexes StringLists.
Index(Iterator<StringList>) - Constructor for class opennlp.tools.dictionary.Index
Initializes the current instance with the given StringList Iterator.
IndexHashTable<T> - Class in opennlp.model
The IndexHashTable is a hash table which maps entries of an array to their index in the array.
IndexHashTable(T[], double) - Constructor for class opennlp.model.IndexHashTable
Initializes the current instance.
indexOf(Parse) - Method in class opennlp.tools.parser.Parse
Returns the index of this specified child.
inducedAbbreviations - Variable in class opennlp.tools.tokenize.DefaultTokenContextGenerator
 
init() - Method in class opennlp.tools.parser.AbstractParserEventStream
 
init() - Method in class opennlp.tools.parser.chunking.ParserEventStream
 
init() - Method in class opennlp.tools.parser.treeinsert.ParserEventStream
 
init(Dictionary, TagDictionary) - Method in class opennlp.tools.postag.POSTaggerFactory
 
init(String, boolean, Dictionary, char[]) - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
 
init(String, Dictionary, boolean, Pattern) - Method in class opennlp.tools.tokenize.TokenizerFactory
 
init(ArtifactProvider) - Method in class opennlp.tools.util.BaseToolFactory
Initializes the ToolFactory with an artifact provider.
initHeadFinder() - Method in class opennlp.tools.coref.DefaultLinker
Initializes the head finder for this linker.
initialize(UimaContext) - Method in class opennlp.uima.chunker.Chunker
Initializes the current instance with the given context.
initialize() - Method in class opennlp.uima.chunker.ChunkerTrainer
Initializes the current instance.
initialize() - Method in class opennlp.uima.doccat.DocumentCategorizerTrainer
 
initialize() - Method in class opennlp.uima.namefind.DictionaryNameFinder
Initializes the current instance with the given context.
initialize() - Method in class opennlp.uima.namefind.NameFinder
Initializes the current instance with the given context.
initialize() - Method in class opennlp.uima.namefind.NameFinderTrainer
Initializes the current instance.
initialize(UimaContext) - Method in class opennlp.uima.normalizer.Normalizer
Initializes the current instance with the given context.
initialize(UimaContext) - Method in class opennlp.uima.parser.Parser
Initializes the current instance with the given context.
initialize(UimaContext) - Method in class opennlp.uima.postag.POSTagger
Initializes the current instance with the given context.
initialize() - Method in class opennlp.uima.postag.POSTaggerTrainer
Initializes the current instance.
initialize(UimaContext) - Method in class opennlp.uima.sentdetect.AbstractSentenceDetector
 
initialize(UimaContext) - Method in class opennlp.uima.sentdetect.SentenceDetector
Initializes the current instance with the given context.
initialize() - Method in class opennlp.uima.sentdetect.SentenceDetectorTrainer
Initializes the current instance.
initialize(UimaContext) - Method in class opennlp.uima.tokenize.AbstractTokenizer
 
initialize(UimaContext) - Method in class opennlp.uima.tokenize.Tokenizer
Initializes the current instance with the given context.
initialize() - Method in class opennlp.uima.tokenize.TokenizerTrainer
Initializes the current instance.
initMentionFinder() - Method in class opennlp.tools.coref.DefaultLinker
Initializes the mention finder for this linker.
initMentionFinder() - Method in class opennlp.tools.coref.TreebankLinker
 
initMentionFinder() - Method in class opennlp.tools.lang.english.TreebankLinker
Deprecated.
 
initResolvers(LinkerMode, double) - Method in class opennlp.tools.coref.DefaultLinker
Initializes the resolvers used by this linker.
innerProduct(double[], double[]) - Static method in class opennlp.maxent.quasinewton.ArrayMath
 
input - Variable in class opennlp.maxent.io.ObjectGISModelReader
 
insert(Entry) - Method in interface opennlp.tools.dictionary.serializer.EntryInserter
 
insert(Parse) - Method in class opennlp.tools.parser.Parse
Inserts the specified constituent into this parse based on its text span.This method assumes that the specified constituent can be inserted into this parse.
InSpanGenerator - Class in opennlp.tools.util.featuregen
Generates features if the tokens are recognized by the provided TokenNameFinder.
InSpanGenerator(String, TokenNameFinder) - Constructor for class opennlp.tools.util.featuregen.InSpanGenerator
Initializes the current instance.
INSTANCE - Static variable in class opennlp.tools.tokenize.SimpleTokenizer
 
INSTANCE - Static variable in class opennlp.tools.tokenize.WhitespaceTokenizer
Use this static reference to retrieve an instance of the WhitespaceTokenizer.
instantiateExtension(Class<T>, String) - Static method in class opennlp.tools.util.ext.ExtensionLoader
Instantiates an user provided extension to OpenNLP.
INT_POOL - Static variable in class opennlp.tools.sentdetect.AbstractEndOfSentenceScanner
Deprecated.
 
INT_POOL - Static variable in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
 
IntegerPool - Class in opennlp.maxent
A pool of read-only, unsigned Integer objects within a fixed, non-sparse range.
IntegerPool(int) - Constructor for class opennlp.maxent.IntegerPool
Creates an IntegerPool with 0..size Integer objects.
intersects(Span) - Method in class opennlp.tools.util.Span
Returns true if the specified span intersects with this span.
intValue() - Method in class opennlp.maxent.Counter
 
INVALID_DICTIONARY_FORMAT - Static variable in class opennlp.uima.util.ExceptionMessages
 
InvalidFormatException - Exception in opennlp.tools.util
This exception indicates that a resource violates the expected data format.
InvalidFormatException() - Constructor for exception opennlp.tools.util.InvalidFormatException
 
InvalidFormatException(String) - Constructor for exception opennlp.tools.util.InvalidFormatException
 
InvalidFormatException(Throwable) - Constructor for exception opennlp.tools.util.InvalidFormatException
 
InvalidFormatException(String, Throwable) - Constructor for exception opennlp.tools.util.InvalidFormatException
 
IO_ERROR_DICTIONARY_READING - Static variable in class opennlp.uima.util.ExceptionMessages
 
IO_ERROR_MODEL_READING - Static variable in class opennlp.uima.util.ExceptionMessages
 
IS_ALPHA_NUMERIC_OPTIMIZATION - Static variable in class opennlp.uima.tokenize.TokenizerTrainer
 
IS_REMOVE_EXISTINGS_ANNOTAIONS - Static variable in class opennlp.uima.util.UimaUtil
 
ISA - Static variable in interface opennlp.tools.coref.Linker
String constant used to label an mention in an appositive relationship.
isAcceptableBreak(String, int, int) - Method in class opennlp.tools.sentdetect.SentenceDetectorME
Allows subclasses to check an overzealous (read: poorly trained) model from flagging obvious non-breaks as breaks based on some boolean determination of a break's acceptability.
isAllCapitalLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
 
isAllDigit() - Method in class opennlp.tools.util.featuregen.StringPattern
 
isAllLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
 
isAllLowerCaseLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
 
IsAResolver - Class in opennlp.tools.coref.resolver
Resolves coreference between appositives.
IsAResolver(String, ResolverMode) - Constructor for class opennlp.tools.coref.resolver.IsAResolver
 
IsAResolver(String, ResolverMode, NonReferentialResolver) - Constructor for class opennlp.tools.coref.resolver.IsAResolver
 
isBasalNounPhrase(Parse) - Method in class opennlp.tools.coref.mention.AbstractMentionFinder
 
isCaseSensitive() - Method in interface opennlp.tools.postag.MutableTagDictionary
Whether if the dictionary is case sensitive or not
isCaseSensitive() - Method in class opennlp.tools.postag.POSDictionary
 
isChunk(boolean) - Method in class opennlp.tools.parser.Parse
 
isChunk() - Method in class opennlp.tools.parser.Parse
 
isClearAdaptiveDataSet() - Method in class opennlp.tools.namefind.NameSample
 
isConjoinedBasal(Parse) - Method in class opennlp.tools.coref.mention.AbstractMentionFinder
 
isCoordinatedNounPhrase() - Method in class opennlp.tools.coref.mention.AbstractParse
 
isCoordinatedNounPhrase() - Method in interface opennlp.tools.coref.mention.Parse
Specifies whether this parse is a coordinated noun phrase.
isCoordinatedNounPhraseCollection() - Method in class opennlp.tools.coref.mention.AbstractMentionFinder
 
isCoordinatedNounPhraseCollection() - Method in interface opennlp.tools.coref.mention.MentionFinder
Returns whether this mention finder collects coordinated noun phrases as mentions.
isEmpty() - Method in class opennlp.tools.util.Cache
 
isEmpty() - Method in class opennlp.tools.util.CountedSet
 
isEmpty() - Method in interface opennlp.tools.util.Heap
Returns whether the heap is empty.
isEmpty() - Method in class opennlp.tools.util.ListHeap
 
isEmpty(CharSequence) - Static method in class opennlp.tools.util.StringUtil
Returns true if CharSequence.length() is 0 or null.
isEmpty() - Method in class opennlp.tools.util.TreeHeap
Deprecated.
 
isFlat() - Method in class opennlp.tools.parser.Parse
Returns true if this constituent contains no sub-constituents.
isIncludePunctuations() - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
 
isInitialCapitalLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
 
isIntermediate(List<String>, List<String>, String) - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
 
isLanguageSupported(String) - Static method in class opennlp.uima.normalizer.NumberUtil
Checks if the language is supported.
isLeaf() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
 
isLeaf() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
 
isLoadedFromSerialized() - Method in interface opennlp.tools.util.model.ArtifactProvider
Indicates if this provider was loaded from serialized.
isLoadedFromSerialized() - Method in class opennlp.tools.util.model.BaseModel
 
isModelValid(MaxentModel) - Static method in class opennlp.tools.namefind.TokenNameFinderModel
 
isNamedEntity() - Method in class opennlp.tools.coref.mention.DefaultParse
 
isNamedEntity() - Method in interface opennlp.tools.coref.mention.Parse
Specifies whether this parse is a named-entity.
isNounPhrase() - Method in class opennlp.tools.coref.mention.DefaultParse
 
isNounPhrase() - Method in interface opennlp.tools.coref.mention.Parse
Specifies whether this parse is a noun phrase.
isOfPrepPhrase(Parse) - Method in class opennlp.tools.coref.mention.AbstractMentionFinder
 
isOSGiEnvironment() - Method in exception opennlp.tools.util.ext.ExtensionNotLoadedException
Indicates if OpenNLP is running in an OSGi environment or not.
isParentNAC() - Method in class opennlp.tools.coref.mention.DefaultParse
 
isParentNAC() - Method in interface opennlp.tools.coref.mention.Parse
Determines whether this has an ancestor of type NAC.
isPossessive(Parse) - Method in class opennlp.tools.coref.mention.AbstractMentionFinder
 
isPosTag() - Method in class opennlp.tools.parser.Parse
Indicates whether this parse node is a pos-tag.
isPrenominalNamedEntityCollection() - Method in class opennlp.tools.coref.mention.AbstractMentionFinder
 
isPrenominalNamedEntityCollection() - Method in interface opennlp.tools.coref.mention.MentionFinder
Returns whether this mention finder collects pre-nominal named-entities as mentions.
isSentence() - Method in class opennlp.tools.coref.mention.DefaultParse
 
isSentence() - Method in interface opennlp.tools.coref.mention.Parse
Specifies whether this parse is a sentence.
isSequenceTraining(Map<String, String>) - Static method in class opennlp.model.TrainUtil
Detects if the training algorithm requires sequence based feature generation or not.
isSnapshot() - Method in class opennlp.tools.util.Version
 
isStarted() - Method in class opennlp.tools.cmdline.PerformanceMonitor
 
isStateless() - Method in class opennlp.uima.chunker.ChunkerTrainer
The trainer is not stateless.
isStateless() - Method in class opennlp.uima.doccat.DocumentCategorizerTrainer
The trainer is not stateless.
isStateless() - Method in class opennlp.uima.namefind.NameFinderTrainer
The trainer is not stateless.
isStateless() - Method in class opennlp.uima.postag.POSTaggerTrainer
The trainer is not stateless.
isStateless() - Method in class opennlp.uima.sentdetect.SentenceDetectorTrainer
The trainer is not stateless.
isStateless() - Method in class opennlp.uima.tokenize.TokenizerTrainer
The trainer is not stateless.
isSubstring(String, String) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
 
isToken() - Method in class opennlp.tools.coref.mention.DefaultParse
 
isToken() - Method in interface opennlp.tools.coref.mention.Parse
Specifies whether this parse is a token.
isUseAlphaNumericOptmization() - Method in class opennlp.tools.tokenize.TokenizerFactory
Gets whether to use alphanumeric optimization.
isUseTokenEnd() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
 
isValid(Map<String, String>) - Static method in class opennlp.model.TrainUtil
 
isWhitespace(char) - Static method in class opennlp.tools.util.StringUtil
Determines if the specified character is a whitespace.
isWhitespace(int) - Static method in class opennlp.tools.util.StringUtil
Determines if the specified character is a whitespace.
ITERATIONS_PARAM - Static variable in class opennlp.model.TrainUtil
 
ITERATIONS_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
 
ITERATIONS_PARAMETER - Static variable in class opennlp.uima.util.UimaUtil
 
iterator() - Method in class opennlp.tools.dictionary.Dictionary
Retrieves an Iterator over all tokens.
iterator() - Method in class opennlp.tools.dictionary.serializer.Attributes
Iterates over the keys.
iterator() - Method in class opennlp.tools.namefind.NameSampleSequenceStream
 
iterator() - Method in class opennlp.tools.ngram.NGramModel
Retrieves an Iterator over all StringList entries.
iterator() - Method in class opennlp.tools.postag.POSDictionary
Retrieves an iterator over all words in the dictionary.
iterator() - Method in class opennlp.tools.postag.POSSampleSequenceStream
 
iterator() - Method in class opennlp.tools.util.CountedSet
 
iterator() - Method in interface opennlp.tools.util.Heap
Returns an iterator over the elements of the heap.
iterator() - Method in class opennlp.tools.util.ListHeap
 
iterator() - Method in class opennlp.tools.util.StringList
Retrieves an Iterator over all tokens.
iterator() - Method in class opennlp.tools.util.TreeHeap
Deprecated.
 
iterator() - Method in class opennlp.uima.util.AnnotationComboIterator
 

J

JWNLDictionary - Class in opennlp.tools.coref.mention
An implementation of the Dictionary interface using the JWNL library.
JWNLDictionary(String) - Constructor for class opennlp.tools.coref.mention.JWNLDictionary
 

K

K - Variable in class opennlp.tools.parser.AbstractBottomUpParser
The maximum number of parses to advance from a single preceding parse.
kcg - Variable in class opennlp.tools.parser.chunking.ParserEventStream
 
keySet() - Method in class opennlp.maxent.DomainToModelMap
A set view of the ModelDomain keys contained in this map.
keySet() - Method in class opennlp.tools.util.Cache
 

L

labelGaps(Stack<Constituent>) - Method in interface opennlp.tools.parser.GapLabeler
Labels the constituents found in the stack with gap labels if appropriate.
labelGaps(Stack<Constituent>) - Method in class opennlp.tools.parser.lang.en.HeadRules
 
language - Variable in class opennlp.tools.formats.LanguageSampleStreamFactory
 
LANGUAGE_PARAMETER - Static variable in class opennlp.uima.util.UimaUtil
 
LanguageDetector - Class in opennlp.uima.doccat
Analysis Engine which can detected the language of a text.
LanguageDetector() - Constructor for class opennlp.uima.doccat.LanguageDetector
 
LanguageParams - Interface in opennlp.tools.cmdline.params
 
LanguageSampleStreamFactory<T> - Class in opennlp.tools.formats
Stream factory for those streams which carry language.
LanguageSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.LanguageSampleStreamFactory
 
last() - Method in interface opennlp.tools.util.Heap
Returns the largest element of the heap.
last() - Method in class opennlp.tools.util.ListHeap
 
last() - Method in class opennlp.tools.util.TreeHeap
Deprecated.
 
lastChild(Parse, Parse) - Method in class opennlp.tools.parser.AbstractParserEventStream
Returns true if the specified child is the last child of the specified parent.
lastChild(Parse, Parse) - Method in class opennlp.tools.parser.treeinsert.ParserEventStream
 
Leaf() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
 
LeipzigDoccatSampleStream - Class in opennlp.tools.formats
Stream filter to produce document samples out of a Leipzig sentences.txt file.
LeipzigDocumentSampleStreamFactory - Class in opennlp.tools.formats
Note: Do not use this class, internal use only!
LeipzigDocumentSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.LeipzigDocumentSampleStreamFactory
 
length() - Method in class opennlp.tools.util.Span
Returns the length of this span.
LineSearch - Class in opennlp.maxent.quasinewton
class that performs line search.
LineSearch() - Constructor for class opennlp.maxent.quasinewton.LineSearch
 
LineSearchResult - Class in opennlp.maxent.quasinewton
class to store lineSearch result
LineSearchResult(double, double, double, double[], double[], double[], double[], int) - Constructor for class opennlp.maxent.quasinewton.LineSearchResult
 
linker - Static variable in class opennlp.tools.coref.AbstractLinker
Instance used for for returning the same linker for subsequent getInstance requests.
Linker - Interface in opennlp.tools.coref
A linker provides an interface for finding mentions, getMentionFinder, and creating entities out of those mentions, getEntities.
LinkerMode - Enum in opennlp.tools.coref
Enumeration of modes in which a linker can run.
ListEventStream - Class in opennlp.model
 
ListEventStream(List<Event>) - Constructor for class opennlp.model.ListEventStream
 
ListHeap<E extends Comparable<E>> - Class in opennlp.tools.util
This class implements the heap interface using a List as the underlying data structure.
ListHeap(int, Comparator<E>) - Constructor for class opennlp.tools.util.ListHeap
Creates a new heap with the specified size using the sorted based on the specified comparator.
ListHeap(int) - Constructor for class opennlp.tools.util.ListHeap
Creates a new heap of the specified size.
load(File) - Method in class opennlp.tools.cmdline.ModelLoader
 
load(DataResource) - Method in class opennlp.uima.util.AbstractModelResource
 
loadBytes(File) - Static method in class opennlp.uima.util.OpennlpUtil
 
loadModel(InputStream) - Method in class opennlp.tools.cmdline.chunker.ChunkerModelLoader
 
loadModel(InputStream) - Method in class opennlp.tools.cmdline.doccat.DoccatModelLoader
 
loadModel(InputStream) - Method in class opennlp.tools.cmdline.ModelLoader
 
loadModel(InputStream) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderModelLoader
 
loadModel(InputStream) - Method in class opennlp.tools.cmdline.parser.ParserModelLoader
 
loadModel(InputStream) - Method in class opennlp.tools.cmdline.postag.POSModelLoader
 
loadModel(InputStream) - Method in class opennlp.tools.cmdline.tokenizer.TokenizerModelLoader
 
loadModel(InputStream) - Method in class opennlp.uima.chunker.ChunkerModelResourceImpl
 
loadModel(InputStream) - Method in class opennlp.uima.doccat.DoccatModelResourceImpl
 
loadModel(InputStream) - Method in class opennlp.uima.namefind.TokenNameFinderModelResourceImpl
 
loadModel(InputStream) - Method in class opennlp.uima.parser.ParserModelResourceImpl
 
loadModel(InputStream) - Method in class opennlp.uima.postag.POSModelResourceImpl
 
loadModel(InputStream) - Method in class opennlp.uima.sentdetect.SentenceModelResourceImpl
 
loadModel(InputStream) - Method in class opennlp.uima.tokenize.TokenizerModelResourceImpl
 
loadModel(InputStream) - Method in class opennlp.uima.util.AbstractModelResource
 
loadResources(File) - Static method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
 
loadTrainingParameters(String, boolean) - Static method in class opennlp.tools.cmdline.CmdLineUtil
 
loadTrainingParams(String, boolean) - Static method in class opennlp.uima.util.OpennlpUtil
 
localEval(MaxentModel, Reader, Evalable, boolean) - Method in interface opennlp.maxent.Evalable
If the -l option is selected for evaluation, this method will be called rather than TrainEval's evaluation method.
logger - Variable in class opennlp.uima.sentdetect.AbstractSentenceDetector
The type of the sentences to be created.
logger - Variable in class opennlp.uima.tokenize.AbstractTokenizer
 
LogLikelihoodFunction - Class in opennlp.maxent.quasinewton
Evaluate log likelihood and its gradient from DataIndexer.
LogLikelihoodFunction(DataIndexer) - Constructor for class opennlp.maxent.quasinewton.LogLikelihoodFunction
 
logPrior(double[], int[]) - Method in interface opennlp.model.Prior
Populates the specified array with the the log of the distribution for the specified context.
logPrior(double[], int[], float[]) - Method in interface opennlp.model.Prior
Populates the specified array with the the log of the distribution for the specified context.
logPrior(double[], int[], float[]) - Method in class opennlp.model.UniformPrior
 
logPrior(double[], int[]) - Method in class opennlp.model.UniformPrior
 

M

M - Variable in class opennlp.tools.parser.AbstractBottomUpParser
The maximum number of parses advanced from all preceding parses at each derivation step.
main(String[]) - Static method in class opennlp.maxent.BinToAscii
 
main(String[]) - Static method in class opennlp.maxent.GISModel
 
main(String[]) - Static method in class opennlp.maxent.io.BinToAscii
 
main(String[]) - Static method in class opennlp.maxent.io.OldFormatGISModelReader
Convert a model created with Maxent 1.0 to a format used with Maxent 1.2.
main(String[]) - Static method in class opennlp.maxent.io.SuffixSensitiveGISModelReader
To convert between different formats of the new style.
Main - Class in opennlp.maxent
Main file for opennlp.maxent.
Main() - Constructor for class opennlp.maxent.Main
 
main(String[]) - Static method in class opennlp.maxent.Main
 
main(String[]) - Static method in class opennlp.maxent.ModelApplier
Main method.
main(String[]) - Static method in class opennlp.maxent.ModelTrainer
Main method.
main(String[]) - Static method in class opennlp.maxent.RealBasicEventStream
 
main(String[]) - Static method in class opennlp.model.FileEventStream
Trains and writes a model based on the events in the specified event file.
main(String[]) - Static method in class opennlp.model.GenericModelReader
 
main(String[]) - Static method in class opennlp.model.RealValueFileEventStream
Trains and writes a model based on the events in the specified event file.
main(String[]) - Static method in class opennlp.perceptron.PerceptronModel
 
main(String[]) - Static method in class opennlp.tools.chunker.ChunkerModel
 
main(String[]) - Static method in class opennlp.tools.cmdline.CLI
 
main(String[]) - Static method in class opennlp.tools.coref.CorefModel
 
main(String[]) - Static method in class opennlp.tools.coref.mention.JWNLDictionary
 
main(String[]) - Static method in class opennlp.tools.coref.sim.GenderModel
 
main(String[]) - Static method in class opennlp.tools.coref.sim.SimilarityModel
 
main(String[]) - Static method in class opennlp.tools.lang.english.TreebankLinker
Deprecated.
Identitifies corefernce relationships for parsed input passed via standard in.
main(String[]) - Static method in class opennlp.tools.lang.english.TreebankNameFinder
Deprecated.
 
main(String[]) - Static method in class opennlp.tools.lang.spanish.TokenChunker
 
main(String[]) - Static method in class opennlp.tools.namefind.NameFinderEventStream
Deprecated.
main(String[]) - Static method in class opennlp.tools.namefind.TokenNameFinderEvaluator
Deprecated.
main(String[]) - Static method in class opennlp.tools.parser.chunking.ParserEventStream
 
main(String[]) - Static method in class opennlp.tools.parser.Parse
Deprecated.
main(String[]) - Static method in class opennlp.tools.parser.treeinsert.ParserEventStream
 
main(String[]) - Static method in class opennlp.tools.postag.POSDictionaryWriter
Deprecated.
 
main(String[]) - Static method in class opennlp.tools.postag.POSTaggerTrainer
Deprecated.
main(String[]) - Static method in class opennlp.tools.sentdetect.SentenceModel
 
main(String[]) - Static method in class opennlp.tools.tokenize.lang.en.TokenSampleStream
 
main(String[]) - Static method in class opennlp.tools.tokenize.SimpleTokenizer
Deprecated.
main(String[]) - Static method in class opennlp.tools.tokenize.TokenizerModel
 
main(String[]) - Static method in class opennlp.tools.util.ListHeap
Deprecated.
main(String[]) - Static method in class opennlp.tools.util.TreeHeap
Deprecated.
 
MALE - Static variable in class opennlp.tools.coref.sim.GenderEnum
Male gender.
malePronounPattern - Static variable in class opennlp.tools.coref.resolver.ResolverUtils
Regular expression for English male pronouns.
MANIFEST_ENTRY - Static variable in class opennlp.tools.util.model.BaseModel
 
mapParseIndex(int, Parse[], Parse[]) - Method in class opennlp.tools.parser.AbstractBottomUpParser
Determines the mapping between the specified index into the specified parses without punctuation to the corresponding index into the specified parses.
match(FeatureStructure) - Method in class opennlp.uima.util.ContainingConstraint
Checks if the given FeatureStructure match the constraint.
MAX_FCT_EVAL - Static variable in class opennlp.maxent.quasinewton.QNTrainer
 
MAXENT_QN_VALUE - Static variable in class opennlp.model.TrainUtil
 
MAXENT_VALUE - Static variable in class opennlp.model.TrainUtil
 
MaxentCompatibilityModel - Class in opennlp.tools.coref.sim
Model of mention compatibiltiy using a maxent model.
MaxentCompatibilityModel(String) - Constructor for class opennlp.tools.coref.sim.MaxentCompatibilityModel
 
MaxentModel - Interface in opennlp.model
Interface for maximum entropy models.
MaxentResolver - Class in opennlp.tools.coref.resolver
Provides common functionality used by classes which implement the Resolver class and use maximum entropy models to make resolution decisions.
MaxentResolver(int, boolean) - Constructor for class opennlp.tools.coref.resolver.MaxentResolver
Creates a maximum-entropy-based resolver which will look the specified number of entities back for a referent.
MaxentResolver(String, String, ResolverMode, int, boolean, NonReferentialResolver) - Constructor for class opennlp.tools.coref.resolver.MaxentResolver
Creates a maximum-entropy-based resolver with the specified model name, using the specified mode, which will look the specified number of entities back for a referent and prefer the first referent if specified.
MaxentResolver(String, String, ResolverMode, int) - Constructor for class opennlp.tools.coref.resolver.MaxentResolver
Creates a maximum-entropy-based resolver with the specified model name, using the specified mode, which will look the specified number of entities back for a referent.
MaxentResolver(String, String, ResolverMode, int, NonReferentialResolver) - Constructor for class opennlp.tools.coref.resolver.MaxentResolver
 
MaxentResolver(String, String, ResolverMode, int, boolean) - Constructor for class opennlp.tools.coref.resolver.MaxentResolver
 
MaxentResolver(String, String, ResolverMode, int, boolean, double) - Constructor for class opennlp.tools.coref.resolver.MaxentResolver
 
mcm - Variable in class opennlp.tools.coref.DefaultLinker
 
Mean - Class in opennlp.tools.util.eval
Calculates the arithmetic mean of values added with the Mean.add(double) method.
Mean() - Constructor for class opennlp.tools.util.eval.Mean
 
mean() - Method in class opennlp.tools.util.eval.Mean
Retrieves the mean of all values added with Mean.add(double) or 0 if there are zero added values.
Mention - Class in opennlp.tools.coref.mention
Data structure representation of a mention.
Mention(Span, Span, int, Parse, String) - Constructor for class opennlp.tools.coref.mention.Mention
 
Mention(Span, Span, int, Parse, String, String) - Constructor for class opennlp.tools.coref.mention.Mention
 
Mention(Mention) - Constructor for class opennlp.tools.coref.mention.Mention
 
MentionContext - Class in opennlp.tools.coref.mention
Data structure representation of a mention with additional contextual information.
MentionContext(Span, Span, int, Parse, String, String, int, int, int, int, HeadFinder) - Constructor for class opennlp.tools.coref.mention.MentionContext
 
MentionContext(Mention, int, int, int, int, HeadFinder) - Constructor for class opennlp.tools.coref.mention.MentionContext
Constructs context information for the specified mention.
mentionEntity(DiscourseEntity) - Method in class opennlp.tools.coref.DiscourseModel
Indicates that the specified entity has been mentioned.
mentionFinder - Variable in class opennlp.tools.coref.AbstractLinker
The mention finder used to find mentions.
MentionFinder - Interface in opennlp.tools.coref.mention
Specifies the interface that Objects which determine the space of mentions for coreference should implement.
mentionString(MentionContext) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
 
mergeEntities(DiscourseEntity, DiscourseEntity, float) - Method in class opennlp.tools.coref.DiscourseModel
Merges the specified entities into a single entity with the specified confidence.
mergeInto(FMeasure) - Method in class opennlp.tools.util.eval.FMeasure
 
mergeReportIntoManifest(Map<String, String>, Map<String, String>, String) - Static method in class opennlp.tools.parser.chunking.Parser
 
MESSAGE_CATALOG - Static variable in class opennlp.uima.util.ExceptionMessages
 
META_LABEL_FINAL - Static variable in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
 
missclassified(ChunkSample, ChunkSample) - Method in class opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener
 
missclassified(T, T) - Method in class opennlp.tools.cmdline.DetailedFMeasureListener
 
missclassified(T, T) - Method in class opennlp.tools.cmdline.EvaluationErrorPrinter
 
missclassified(NameSample, NameSample) - Method in class opennlp.tools.cmdline.namefind.NameEvaluationErrorListener
 
missclassified(POSSample, POSSample) - Method in class opennlp.tools.cmdline.postag.POSEvaluationErrorListener
 
missclassified(POSSample, POSSample) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
 
missclassified(SentenceSample, SentenceSample) - Method in class opennlp.tools.cmdline.sentdetect.SentenceEvaluationErrorListener
 
missclassified(TokenSample, TokenSample) - Method in class opennlp.tools.cmdline.tokenizer.TokenEvaluationErrorListener
 
missclassified(T, T) - Method in interface opennlp.tools.util.eval.EvaluationMonitor
 
mLogger - Variable in class opennlp.uima.parser.Parser
 
mlParams - Variable in class opennlp.tools.cmdline.AbstractTrainerTool
 
mode - Variable in class opennlp.tools.coref.AbstractLinker
The mode in which this linker is running.
model - Variable in class opennlp.tools.chunker.ChunkerME
The model used to assign chunk tags to a sequence of tokens.
model - Variable in class opennlp.tools.namefind.NameFinderME
 
model - Variable in class opennlp.tools.util.BeamSearch
 
model - Variable in class opennlp.uima.util.AbstractModelResource
 
MODEL_PARAMETER - Static variable in class opennlp.uima.util.UimaUtil
The model parameter.
ModelApplier - Class in opennlp.maxent
Test the model on some input.
ModelApplier(MaxentModel) - Constructor for class opennlp.maxent.ModelApplier
 
ModelDomain - Interface in opennlp.maxent
A simple interface that represents a domain to which a particular maxent model is primarily applicable.
ModelLoader<T> - Class in opennlp.tools.cmdline
Loads a model and does all the error handling for the command line tools.
ModelLoader(String) - Constructor for class opennlp.tools.cmdline.ModelLoader
 
ModelReplacementManager - Class in opennlp.maxent
A object which can be used to ensure that a Maxent application can swap the model currently in use with a new one in a thread-safe manner without stopping the servicing of requests.
ModelReplacementManager(ModelSetter) - Constructor for class opennlp.maxent.ModelReplacementManager
 
ModelSetter - Interface in opennlp.maxent
A object to facilitate the resetting of a MaxentModel variable to a new value (model).
ModelTrainer - Class in opennlp.maxent
Main class which calls the GIS procedure after building the EventStream from the data.
ModelTrainer() - Constructor for class opennlp.maxent.ModelTrainer
 
modelType - Variable in class opennlp.model.AbstractModel
The type of the model.
ModelType - Enum in opennlp.tools.util.model
 
ModelUtil - Class in opennlp.tools.util.model
Utility class for handling of MaxentModels.
mParser - Variable in class opennlp.uima.parser.Parser
 
Muc6FullParseCorefSampleStreamFactory - Class in opennlp.tools.formats.muc
Factory creates a stream which can parse MUC 6 Coref data and outputs CorefSample objects which are enhanced with a full parse and are suitable to train the Coreference component.
Muc6FullParseCorefSampleStreamFactory() - Constructor for class opennlp.tools.formats.muc.Muc6FullParseCorefSampleStreamFactory
 
Muc6NameSampleStreamFactory - Class in opennlp.tools.formats.muc
 
Muc6NameSampleStreamFactory() - Constructor for class opennlp.tools.formats.muc.Muc6NameSampleStreamFactory
 
MucCorefSampleStream - Class in opennlp.tools.formats.muc
 
MucCorefSampleStream(Tokenizer, ObjectStream<String>) - Constructor for class opennlp.tools.formats.muc.MucCorefSampleStream
 
MucMentionInserterStream - Class in opennlp.tools.formats.muc
The mention insert is responsible to insert the mentions from the training data into the parse trees.
MucMentionInserterStream(ObjectStream<RawCorefSample>) - Constructor for class opennlp.tools.formats.muc.MucMentionInserterStream
 
MucNameContentHandler - Class in opennlp.tools.formats.muc
 
MucNameContentHandler(Tokenizer, List<NameSample>) - Constructor for class opennlp.tools.formats.muc.MucNameContentHandler
 
MucNameSampleStream - Class in opennlp.tools.formats.muc
 
MucNameSampleStream(Tokenizer, ObjectStream<String>) - Constructor for class opennlp.tools.formats.muc.MucNameSampleStream
 
MutableContext - Class in opennlp.model
Class used to store parameters or expected values associated with this context which can be updated or assigned.
MutableContext(int[], double[]) - Constructor for class opennlp.model.MutableContext
Creates a new parameters object with the specified parameters associated with the specified outcome pattern.
MutableTagDictionary - Interface in opennlp.tools.postag
Interface that allows TagDictionary entries to be added and removed.

N

name - Variable in class opennlp.model.ComparablePredicate
 
name - Variable in class opennlp.uima.tokenize.AbstractTokenizer
 
NAME_TYPE_PARAMETER - Static variable in class opennlp.uima.namefind.NameFinder
 
NAME_TYPES - Static variable in class opennlp.tools.coref.mention.DefaultParse
 
NAME_TYPES - Static variable in class opennlp.tools.lang.english.TreebankNameFinder
Deprecated.
 
NameContextGenerator - Interface in opennlp.tools.namefind
Interface for generating the context for an name finder by specifying a set of geature generators.
NameEvaluationErrorListener - Class in opennlp.tools.cmdline.namefind
A default implementation of EvaluationMonitor that prints to an output stream.
NameEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.namefind.NameEvaluationErrorListener
Creates a listener that will print to System.err
NameEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.namefind.NameEvaluationErrorListener
Creates a listener that will print to a given OutputStream
NameFinder - Class in opennlp.uima.namefind
OpenNLP Name annotator.
NameFinder() - Constructor for class opennlp.uima.namefind.NameFinder
Initializes a new instance.
NameFinderCensus90NameStream - Class in opennlp.tools.formats
This class helps to read the US Census data from the files to build a StringList for each dictionary entry in the name-finder dictionary.
NameFinderCensus90NameStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.NameFinderCensus90NameStream
This constructor takes an ObjectStream and initializes the class to handle the stream.
NameFinderCensus90NameStream(InputStream, Charset) - Constructor for class opennlp.tools.formats.NameFinderCensus90NameStream
This constructor takes an InputStream and a Charset and opens an associated stream object with the specified encoding specified.
NameFinderCorefEnhancerStream - Class in opennlp.tools.formats.muc
Adds names to the Coref Sample Stream.
NameFinderCorefEnhancerStream(TokenNameFinder[], String[], ObjectStream<RawCorefSample>) - Constructor for class opennlp.tools.formats.muc.NameFinderCorefEnhancerStream
 
NameFinderEventStream - Class in opennlp.tools.namefind
Class for creating an event stream out of data files for training an name finder.
NameFinderEventStream(ObjectStream<NameSample>, String, NameContextGenerator) - Constructor for class opennlp.tools.namefind.NameFinderEventStream
Creates a new name finder event stream using the specified data stream and context generator.
NameFinderEventStream(ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameFinderEventStream
 
NameFinderME - Class in opennlp.tools.namefind
Class for creating a maximum-entropy-based name finder.
NameFinderME(TokenNameFinderModel) - Constructor for class opennlp.tools.namefind.NameFinderME
 
NameFinderME(TokenNameFinderModel, AdaptiveFeatureGenerator, int, SequenceValidator<String>) - Constructor for class opennlp.tools.namefind.NameFinderME
Initializes the name finder with the specified model.
NameFinderME(TokenNameFinderModel, AdaptiveFeatureGenerator, int) - Constructor for class opennlp.tools.namefind.NameFinderME
 
NameFinderME(TokenNameFinderModel, int) - Constructor for class opennlp.tools.namefind.NameFinderME
 
NameFinderME(MaxentModel) - Constructor for class opennlp.tools.namefind.NameFinderME
Deprecated.
Use the new model API!
NameFinderME(MaxentModel, NameContextGenerator) - Constructor for class opennlp.tools.namefind.NameFinderME
Deprecated.
NameFinderME(MaxentModel, NameContextGenerator, int) - Constructor for class opennlp.tools.namefind.NameFinderME
Deprecated.
NameFinderSequenceValidator - Class in opennlp.tools.namefind
 
NameFinderSequenceValidator() - Constructor for class opennlp.tools.namefind.NameFinderSequenceValidator
 
NameFinderTrainer - Class in opennlp.uima.namefind
OpenNLP NameFinder trainer.
NameFinderTrainer() - Constructor for class opennlp.uima.namefind.NameFinderTrainer
 
NameSample - Class in opennlp.tools.namefind
Class for holding names for a single unit of text.
NameSample(String[], Span[], String[][], boolean) - Constructor for class opennlp.tools.namefind.NameSample
Initializes the current instance.
NameSample(String[], Span[], boolean) - Constructor for class opennlp.tools.namefind.NameSample
 
NameSampleDataStream - Class in opennlp.tools.namefind
The NameSampleDataStream class converts tagged Strings provided by a DataStream to NameSample objects.
NameSampleDataStream(ObjectStream<String>) - Constructor for class opennlp.tools.namefind.NameSampleDataStream
 
NameSampleDataStreamFactory - Class in opennlp.tools.formats
Factory producing OpenNLP NameSampleDataStreams.
NameSampleDataStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.NameSampleDataStreamFactory
 
NameSampleDataStreamFactory.Parameters - Interface in opennlp.tools.formats
 
NameSampleSequenceStream - Class in opennlp.tools.namefind
 
NameSampleSequenceStream(ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
 
NameSampleSequenceStream(ObjectStream<NameSample>, AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
 
NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
 
NameSampleTypeFilter - Class in opennlp.tools.namefind
A stream which removes Name Samples which do not have a certain type.
NameSampleTypeFilter(String[], ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleTypeFilter
 
NameSampleTypeFilter(Set<String>, ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleTypeFilter
 
NameToSentenceSampleStream - Class in opennlp.tools.formats.convert
Note: Do not use this class, internal use only!
NameToSentenceSampleStream(Detokenizer, ObjectStream<NameSample>, int) - Constructor for class opennlp.tools.formats.convert.NameToSentenceSampleStream
 
NameToSentenceSampleStreamFactory - Class in opennlp.tools.formats.convert
Note: Do not use this class, internal use only!
NameToSentenceSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.convert.NameToSentenceSampleStreamFactory
 
NameToTokenSampleStream - Class in opennlp.tools.formats.convert
Note: Do not use this class, internal use only!
NameToTokenSampleStream(Detokenizer, ObjectStream<NameSample>) - Constructor for class opennlp.tools.formats.convert.NameToTokenSampleStream
 
NameToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert
Note: Do not use this class, internal use only!
NameToTokenSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.convert.NameToTokenSampleStreamFactory
 
nameType - Variable in class opennlp.tools.coref.mention.Mention
A string representing the name type for this extent.
ndh - Variable in class opennlp.tools.parser.AbstractBottomUpParser
Incomplete parses which have been advanced.
NEUTER - Static variable in class opennlp.tools.coref.sim.GenderEnum
Nueter gender.
neuterPronounPattern - Static variable in class opennlp.tools.coref.resolver.ResolverUtils
Regular expression for English neuter pronouns.
next() - Method in class opennlp.maxent.BasicEventStream
Returns the next Event object held in this EventStream.
next() - Method in class opennlp.maxent.RealBasicEventStream
 
next() - Method in class opennlp.model.EventCollectorAsStream
 
next() - Method in interface opennlp.model.EventStream
Returns the next Event object held in this EventStream.
next() - Method in class opennlp.model.FileEventStream
 
next() - Method in class opennlp.model.HashSumEventStream
 
next() - Method in class opennlp.model.ListEventStream
 
next() - Method in class opennlp.model.RealValueFileEventStream
 
next() - Method in class opennlp.model.SequenceStreamEventStream
 
next() - Method in class opennlp.tools.chunker.ChunkerEventStream
 
next() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream
 
next() - Method in class opennlp.tools.util.AbstractEventStream
 
next() - Method in class opennlp.tools.util.CollectionEventStream
 
next() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner
Retrieves the next training and test partitions.
next() - Method in class opennlp.tools.util.EventTraceStream
 
next() - Method in class opennlp.tools.util.HashSumEventStream
Deprecated.
 
next() - Method in class opennlp.tools.util.ReverseListIterator
 
next() - Method in class opennlp.uima.util.AnnotationComboIterator
 
NEXT_PREFIX - Static variable in class opennlp.tools.util.featuregen.WindowFeatureGenerator
 
nextIteration(int) - Method in class opennlp.perceptron.SimplePerceptronSequenceTrainer
 
nextToken() - Method in interface opennlp.maxent.DataStream
Returns the next slice of data held in this DataStream.
nextToken() - Method in class opennlp.maxent.PlainTextByLineDataStream
 
ngramDictionary - Variable in class opennlp.tools.postag.POSTaggerFactory
 
ngramDictionary - Variable in class opennlp.tools.postag.POSTaggerME
 
NGramFeatureGenerator - Class in opennlp.tools.doccat
 
NGramFeatureGenerator() - Constructor for class opennlp.tools.doccat.NGramFeatureGenerator
 
NGramModel - Class in opennlp.tools.ngram
The NGramModel can be used to crate ngrams and character ngrams.
NGramModel() - Constructor for class opennlp.tools.ngram.NGramModel
Initializes an empty instance.
NGramModel(InputStream) - Constructor for class opennlp.tools.ngram.NGramModel
Initializes the current instance.
nicePrint() - Method in class opennlp.tools.chunker.ChunkSample
Creates a nice to read string for the phrases formatted as following:
[NP Rockwell_NNP ] [VP said_VBD ] [NP the_DT agreement_NN ] [VP calls_VBZ ] [SBAR for_IN ] [NP it_PRP ] [VP to_TO supply_VB ] [NP 200_CD additional_JJ so-called_JJ shipsets_NNS ] [PP for_IN ] [NP the_DT planes_NNS ] ._.
NO_SPLIT - Static variable in class opennlp.tools.sentdetect.SentenceDetectorME
Constant indicates no sentence split.
NO_SPLIT - Static variable in class opennlp.tools.tokenize.TokenizerME
Constant indicates no token split.
Node() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
 
NON_ATTACH - Static variable in class opennlp.tools.parser.treeinsert.Parser
Outcome used when a node should not be attached to another node.
nonReferentialResolver - Variable in class opennlp.tools.coref.resolver.MaxentResolver
The model for computing non-referential probabilities.
NonReferentialResolver - Interface in opennlp.tools.coref.resolver
Provides the interface for a object to provide a resolver with a non-referential probability.
Normalizer - Class in opennlp.uima.normalizer
The Normalizer tries the structure annotations.
Normalizer() - Constructor for class opennlp.uima.normalizer.Normalizer
Initializes a new instance.
NP - Static variable in interface opennlp.tools.coref.Linker
String constant used to label a mention which consists of a single noun phrase.
NUM_PREDS - Variable in class opennlp.model.AbstractModelReader
The number of predicates contained in the model.
Number - Class in opennlp.tools.coref.sim
Class which models the number of an entity and the confidence of that association.
Number(NumberEnum, double) - Constructor for class opennlp.tools.coref.sim.Number
 
numberDist(Context) - Method in class opennlp.tools.coref.sim.NumberModel
 
numberDist(Context) - Method in interface opennlp.tools.coref.sim.TestNumberModel
 
NumberEnum - Class in opennlp.tools.coref.sim
Enumeration of number types.
NumberModel - Class in opennlp.tools.coref.sim
Class which models the number of particular mentions and the entities made up of mentions.
numberOfGrams() - Method in class opennlp.tools.ngram.NGramModel
Retrieves the total count of all Ngrams.
NumberUtil - Class in opennlp.uima.normalizer
This class contains methods to parse numbers which occur in natural language texts.
NumberUtil() - Constructor for class opennlp.uima.normalizer.NumberUtil
 
numEntitiesBack - Variable in class opennlp.tools.coref.resolver.AbstractResolver
The number of previous entities that resolver should consider.
numSentencesBack - Variable in class opennlp.tools.coref.resolver.AbstractResolver
The number of sentences back this resolver should look for a referent.
numTimesEventsSeen - Variable in class opennlp.model.AbstractDataIndexer
The number of times an event occured in the training data.

O

ObjectDataReader - Class in opennlp.model
 
ObjectDataReader(ObjectInputStream) - Constructor for class opennlp.model.ObjectDataReader
 
ObjectGISModelReader - Class in opennlp.maxent.io
 
ObjectGISModelReader(ObjectInputStream) - Constructor for class opennlp.maxent.io.ObjectGISModelReader
Constructor which directly instantiates the ObjectInputStream containing the model contents.
ObjectGISModelWriter - Class in opennlp.maxent.io
 
ObjectGISModelWriter(AbstractModel, ObjectOutputStream) - Constructor for class opennlp.maxent.io.ObjectGISModelWriter
Constructor which takes a GISModel and a ObjectOutputStream and prepares itself to write the model to that stream.
ObjectQNModelReader - Class in opennlp.maxent.io
 
ObjectQNModelReader(ObjectInputStream) - Constructor for class opennlp.maxent.io.ObjectQNModelReader
 
ObjectQNModelWriter - Class in opennlp.maxent.io
 
ObjectQNModelWriter(AbstractModel, ObjectOutputStream) - Constructor for class opennlp.maxent.io.ObjectQNModelWriter
Constructor which takes a GISModel and a ObjectOutputStream and prepares itself to write the model to that stream.
ObjectStream<T> - Interface in opennlp.tools.util
Reads Objects from a stream.
ObjectStreamFactory<T> - Interface in opennlp.tools.cmdline
 
ObjectStreamUtils - Class in opennlp.tools.util
 
ObjectStreamUtils() - Constructor for class opennlp.tools.util.ObjectStreamUtils
 
odh - Variable in class opennlp.tools.parser.AbstractBottomUpParser
Incomplete parses which will be advanced.
ois - Variable in class opennlp.model.ObjectDataReader
 
OldFormatGISModelReader - Class in opennlp.maxent.io
A reader for GIS models stored in the format used in v1.0 of Maxent.
OldFormatGISModelReader(String) - Constructor for class opennlp.maxent.io.OldFormatGISModelReader
Constructor which takes the name of the model without any suffixes, such as ".mei.gz" or ".mep.gz".
OnePassDataIndexer - Class in opennlp.model
An indexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates.
OnePassDataIndexer(EventStream) - Constructor for class opennlp.model.OnePassDataIndexer
One argument constructor for DataIndexer which calls the two argument constructor assuming no cutoff.
OnePassDataIndexer(EventStream, int) - Constructor for class opennlp.model.OnePassDataIndexer
 
OnePassDataIndexer(EventStream, int, boolean) - Constructor for class opennlp.model.OnePassDataIndexer
Two argument constructor for DataIndexer.
OnePassRealValueDataIndexer - Class in opennlp.model
An indexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates and maintains event values.
OnePassRealValueDataIndexer(EventStream, int, boolean) - Constructor for class opennlp.model.OnePassRealValueDataIndexer
 
OnePassRealValueDataIndexer(EventStream, int) - Constructor for class opennlp.model.OnePassRealValueDataIndexer
Two argument constructor for DataIndexer.
openInFile(File) - Static method in class opennlp.tools.cmdline.CmdLineUtil
 
opennlp.maxent - package opennlp.maxent
Provides main functionality of the maxent package including data structures and algorithms for parameter estimation.
opennlp.maxent.io - package opennlp.maxent.io
Provides the I/O functionality of the maxent package including reading and writting models in several formats.
opennlp.maxent.quasinewton - package opennlp.maxent.quasinewton
 
opennlp.model - package opennlp.model
 
opennlp.perceptron - package opennlp.perceptron
 
opennlp.tools - package opennlp.tools
Contains packages which solve common NLP tasks.
opennlp.tools.chunker - package opennlp.tools.chunker
Package related to finding non-recursive syntactic annotation such as noun phrase chunks.
opennlp.tools.cmdline - package opennlp.tools.cmdline
 
opennlp.tools.cmdline.chunker - package opennlp.tools.cmdline.chunker
 
opennlp.tools.cmdline.coref - package opennlp.tools.cmdline.coref
 
opennlp.tools.cmdline.dictionary - package opennlp.tools.cmdline.dictionary
 
opennlp.tools.cmdline.doccat - package opennlp.tools.cmdline.doccat
 
opennlp.tools.cmdline.namefind - package opennlp.tools.cmdline.namefind
 
opennlp.tools.cmdline.params - package opennlp.tools.cmdline.params
 
opennlp.tools.cmdline.parser - package opennlp.tools.cmdline.parser
 
opennlp.tools.cmdline.postag - package opennlp.tools.cmdline.postag
 
opennlp.tools.cmdline.sentdetect - package opennlp.tools.cmdline.sentdetect
 
opennlp.tools.cmdline.tokenizer - package opennlp.tools.cmdline.tokenizer
 
opennlp.tools.coref - package opennlp.tools.coref
Package related to performing coreference resolution.
opennlp.tools.coref.mention - package opennlp.tools.coref.mention
Package related to the modeling mentions for coreference resolution.
opennlp.tools.coref.resolver - package opennlp.tools.coref.resolver
Package related to resolution techniques for coreference resolution.
opennlp.tools.coref.sim - package opennlp.tools.coref.sim
Package related to the modeling mention similarity for coreference resolution.
opennlp.tools.dictionary - package opennlp.tools.dictionary
Package related to parsing and storing dictionaries.
opennlp.tools.dictionary.serializer - package opennlp.tools.dictionary.serializer
 
opennlp.tools.doccat - package opennlp.tools.doccat
Package for classifying a document into a category.
opennlp.tools.formats - package opennlp.tools.formats
Experimental package related to converting various corpora to OpenNLP Format.
opennlp.tools.formats.ad - package opennlp.tools.formats.ad
 
opennlp.tools.formats.convert - package opennlp.tools.formats.convert
 
opennlp.tools.formats.frenchtreebank - package opennlp.tools.formats.frenchtreebank
 
opennlp.tools.formats.muc - package opennlp.tools.formats.muc
 
opennlp.tools.lang.english - package opennlp.tools.lang.english
Package related to the processing of English data.
opennlp.tools.lang.spanish - package opennlp.tools.lang.spanish
Package related to the processing of Spanish data.
opennlp.tools.namefind - package opennlp.tools.namefind
Package related to finding proper names and numeric amounts.
opennlp.tools.ngram - package opennlp.tools.ngram
Package related to computing and storing n-gram frequencies.
opennlp.tools.parser - package opennlp.tools.parser
Package containing common code for performing full syntactic parsing.
opennlp.tools.parser.chunking - package opennlp.tools.parser.chunking
Package containing code for performing full syntactic parsing using shift/reduce-style decisions.
opennlp.tools.parser.lang.en - package opennlp.tools.parser.lang.en
 
opennlp.tools.parser.treeinsert - package opennlp.tools.parser.treeinsert
Package containing experimental code for performing full syntactic parsing using attachment decisions.
opennlp.tools.postag - package opennlp.tools.postag
Package related to part-of-speech tagging.
opennlp.tools.sentdetect - package opennlp.tools.sentdetect
Package related to identifying sentece boundries.
opennlp.tools.sentdetect.lang - package opennlp.tools.sentdetect.lang
 
opennlp.tools.sentdetect.lang.th - package opennlp.tools.sentdetect.lang.th
Package related to the processing of Thai data.
opennlp.tools.stemmer - package opennlp.tools.stemmer
 
opennlp.tools.tokenize - package opennlp.tools.tokenize
Contains classes related to finding token or words in a string.
opennlp.tools.tokenize.lang - package opennlp.tools.tokenize.lang
 
opennlp.tools.tokenize.lang.en - package opennlp.tools.tokenize.lang.en
 
opennlp.tools.util - package opennlp.tools.util
Package containing utility data structures and algorithms used by multiple other packages.
opennlp.tools.util.eval - package opennlp.tools.util.eval
 
opennlp.tools.util.ext - package opennlp.tools.util.ext
Package containing extension loading code.
opennlp.tools.util.featuregen - package opennlp.tools.util.featuregen
This package contains classes for generating sequence features.
opennlp.tools.util.model - package opennlp.tools.util.model
 
opennlp.uima.chunker - package opennlp.uima.chunker
Package related to finding non-recursive syntactic annotation such as noun phrase chunks.
opennlp.uima.doccat - package opennlp.uima.doccat
 
opennlp.uima.namefind - package opennlp.uima.namefind
Package related to finding proper names and numeric amounts.
opennlp.uima.normalizer - package opennlp.uima.normalizer
 
opennlp.uima.parser - package opennlp.uima.parser
 
opennlp.uima.postag - package opennlp.uima.postag
Package related to part-of-speech tagging.
opennlp.uima.sentdetect - package opennlp.uima.sentdetect
Package related to identifying sentece boundries.
opennlp.uima.tokenize - package opennlp.uima.tokenize
Package related to finding tokens or word segments.
opennlp.uima.util - package opennlp.uima.util
 
OpenNlpAnnotatorProcessException - Exception in opennlp.uima.util
 
OpenNlpAnnotatorProcessException(String, Object[]) - Constructor for exception opennlp.uima.util.OpenNlpAnnotatorProcessException
 
OpenNlpAnnotatorProcessException(String, Object[], Throwable) - Constructor for exception opennlp.uima.util.OpenNlpAnnotatorProcessException
 
OpenNlpAnnotatorProcessException(Throwable) - Constructor for exception opennlp.uima.util.OpenNlpAnnotatorProcessException
 
OpennlpUtil - Class in opennlp.uima.util
This class contains utils methods for the maxent library.
OSGiExtensionLoader - Class in opennlp.tools.util.ext
OSGi bundle activator which can use an OSGi service as an OpenNLP extension.
OSGiExtensionLoader() - Constructor for class opennlp.tools.util.ext.OSGiExtensionLoader
 
OTHER - Static variable in class opennlp.tools.formats.ad.ADChunkSampleStream
 
OTHER - Static variable in class opennlp.tools.namefind.NameFinderME
 
OTHER - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
Outcome for token which is not contained in a basal constituent.
outcome - Variable in class opennlp.model.ComparableEvent
 
OUTCOME_LABELS - Variable in class opennlp.maxent.io.GISModelWriter
 
OUTCOME_LABELS - Variable in class opennlp.perceptron.PerceptronModelWriter
 
OUTCOME_PRIOR_FEATURE - Static variable in class opennlp.tools.util.featuregen.OutcomePriorFeatureGenerator
 
outcomeLabels - Variable in class opennlp.model.AbstractDataIndexer
The names of the outcomes.
outcomeList - Variable in class opennlp.model.AbstractDataIndexer
The integer outcome associated with each unique event.
outcomeNames - Variable in class opennlp.maxent.io.QNModelWriter
 
outcomeNames - Variable in class opennlp.model.AbstractModel
The names of the outcomes.
OutcomePriorFeatureGenerator - Class in opennlp.tools.util.featuregen
The definition feature maps the underlying distribution of outcomes.
OutcomePriorFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.OutcomePriorFeatureGenerator
 
outcomes - Variable in class opennlp.model.ComparablePredicate
 
outcomes - Variable in class opennlp.model.Context
The outcomes which occur with this context.
outOfRange(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.AbstractResolver
Determines if the specified entity is too far from the specified mention to be resolved to it.
outOfRange(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.IsAResolver
 
outOfRange(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.PerfectResolver
 
outOfRange(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.PluralPronounResolver
 
outOfRange(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.SingularPronounResolver
 
outOfRange(MentionContext, DiscourseEntity) - Method in class opennlp.tools.coref.resolver.SpeechPronounResolver
 
output - Variable in class opennlp.maxent.io.BinaryQNModelWriter
 
output - Variable in class opennlp.maxent.io.ObjectGISModelWriter
 
output - Variable in class opennlp.maxent.io.ObjectQNModelWriter
 

P

pairedSampleSelection - Variable in class opennlp.tools.coref.resolver.MaxentResolver
When true, this designates that training should consist of a single positive and a single negative example (when possible) for each mention.
ParagraphStream - Class in opennlp.tools.util
Stream filter which merges text lines into paragraphs.
ParagraphStream(ObjectStream<String>) - Constructor for class opennlp.tools.util.ParagraphStream
 
PARAMETER_NOT_FOUND - Static variable in class opennlp.uima.util.ExceptionMessages
 
parameters - Variable in class opennlp.maxent.io.QNModelWriter
 
parameters - Variable in class opennlp.model.Context
The real valued parameters or expected values for this context.
PARAMS - Variable in class opennlp.maxent.io.GISModelWriter
 
params - Variable in class opennlp.maxent.io.QNModelWriter
 
params - Variable in class opennlp.model.ComparablePredicate
 
PARAMS - Variable in class opennlp.perceptron.PerceptronModelWriter
 
params - Variable in class opennlp.tools.cmdline.AbstractEvaluatorTool
 
params - Variable in class opennlp.tools.cmdline.AbstractTrainerTool
 
params - Variable in class opennlp.tools.formats.AbstractSampleStreamFactory
 
paramsClass - Variable in class opennlp.tools.cmdline.AbstractTypedParamTool
variable to access the parameters
parse(String[], Class<T>) - Static method in class opennlp.tools.cmdline.ArgumentParser
Parses the passed arguments and creates an instance of the proxy interface.
parse(String) - Static method in class opennlp.tools.coref.CorefSample
 
parse - Variable in class opennlp.tools.coref.mention.Mention
The parse node that this extent is based on.
Parse - Interface in opennlp.tools.coref.mention
Interface for syntactic and named-entity information to be used in coreference annotation.
parse(String, int, boolean, boolean) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser
Parse the sentence
parse(Reader, SgmlParser.ContentHandler) - Method in class opennlp.tools.formats.muc.SgmlParser
 
parse(String, boolean) - Static method in class opennlp.tools.namefind.NameSample
 
parse(String, String, boolean) - Static method in class opennlp.tools.namefind.NameSample
 
parse(Parse, int) - Method in class opennlp.tools.parser.AbstractBottomUpParser
 
parse(Parse) - Method in class opennlp.tools.parser.AbstractBottomUpParser
 
Parse - Class in opennlp.tools.parser
Data structure for holding parse constituents.
Parse(String, Span, String, double, int) - Constructor for class opennlp.tools.parser.Parse
Creates a new parse node for this specified text and span of the specified type with the specified probability and the specified head index.
Parse(String, Span, String, double, Parse) - Constructor for class opennlp.tools.parser.Parse
Creates a new parse node for this specified text and span of the specified type with the specified probability and the specified head and head index.
parse(Parse, int) - Method in interface opennlp.tools.parser.Parser
Returns the specified number of parses or fewer for the specified tokens.
parse(Parse) - Method in interface opennlp.tools.parser.Parser
Returns a parse for the specified parse of tokens.
parse(String) - Static method in enum opennlp.tools.parser.ParserType
 
parse(String) - Static method in class opennlp.tools.postag.POSSample
 
parse(String) - Static method in enum opennlp.tools.tokenize.DetokenizationDictionary.Operation
 
parse(String, String) - Static method in class opennlp.tools.tokenize.TokenSample
 
parse(String) - Static method in class opennlp.tools.util.Version
Return a new Version initialized to the value represented by the specified String
parse(String, String) - Static method in class opennlp.uima.normalizer.NumberUtil
Gives its best to parse the provided number.
PARSE_TYPE_PARAMETER - Static variable in class opennlp.uima.parser.Parser
 
parseContext(String) - Static method in class opennlp.tools.coref.sim.Context
 
parseContexts(String[]) - Static method in class opennlp.model.RealValueFileEventStream
Parses the specified contexts and re-populates context array with features and returns the values for these features.
parseLine(String, Parser, int) - Static method in class opennlp.tools.cmdline.parser.ParserTool
 
parseOneEntryPerLine(Reader) - Static method in class opennlp.tools.dictionary.Dictionary
Reads a dictionary which has one entry per line.
parseParse(String) - Static method in class opennlp.tools.parser.Parse
Parses the specified tree-bank style parse string and return a Parse structure for that string.
parseParse(String, GapLabeler) - Static method in class opennlp.tools.parser.Parse
Parses the specified tree-bank style parse string and return a Parse structure for that string.
Parser - Class in opennlp.tools.parser.chunking
Class for a shift reduce style parser based on Adwait Ratnaparkhi's 1998 thesis.
Parser(ParserModel, int, double) - Constructor for class opennlp.tools.parser.chunking.Parser
 
Parser(ParserModel) - Constructor for class opennlp.tools.parser.chunking.Parser
 
Parser(MaxentModel, MaxentModel, POSTagger, Chunker, HeadRules) - Constructor for class opennlp.tools.parser.chunking.Parser
Deprecated.
Parser(MaxentModel, MaxentModel, POSTagger, Chunker, HeadRules, int, double) - Constructor for class opennlp.tools.parser.chunking.Parser
Deprecated.
Parser - Interface in opennlp.tools.parser
Interface for full-syntactic parsers.
Parser - Class in opennlp.tools.parser.treeinsert
Built/attach parser.
Parser(ParserModel, int, double) - Constructor for class opennlp.tools.parser.treeinsert.Parser
 
Parser(ParserModel) - Constructor for class opennlp.tools.parser.treeinsert.Parser
 
Parser(AbstractModel, AbstractModel, AbstractModel, POSTagger, Chunker, HeadRules, int, double) - Constructor for class opennlp.tools.parser.treeinsert.Parser
Deprecated.
Parser(AbstractModel, AbstractModel, AbstractModel, POSTagger, Chunker, HeadRules) - Constructor for class opennlp.tools.parser.treeinsert.Parser
Deprecated.
Parser - Class in opennlp.uima.parser
Abstract base class for OpenNLP Parser annotators.
Parser() - Constructor for class opennlp.uima.parser.Parser
 
ParserChunkerSequenceValidator - Class in opennlp.tools.parser
 
ParserChunkerSequenceValidator(ChunkerModel) - Constructor for class opennlp.tools.parser.ParserChunkerSequenceValidator
 
ParserConverterTool - Class in opennlp.tools.cmdline.parser
 
ParserConverterTool() - Constructor for class opennlp.tools.cmdline.parser.ParserConverterTool
 
ParserEventStream - Class in opennlp.tools.parser.chunking
Wrapper class for one of four parser event streams.
ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, Dictionary) - Constructor for class opennlp.tools.parser.chunking.ParserEventStream
Create an event stream based on the specified data stream of the specified type using the specified head rules.
ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class opennlp.tools.parser.chunking.ParserEventStream
 
ParserEventStream - Class in opennlp.tools.parser.treeinsert
 
ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, Dictionary) - Constructor for class opennlp.tools.parser.treeinsert.ParserEventStream
 
ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class opennlp.tools.parser.treeinsert.ParserEventStream
 
ParserEventTypeEnum - Enum in opennlp.tools.parser
Enumerated type of event types for the parser.
ParserFactory - Class in opennlp.tools.parser
 
ParserModel - Class in opennlp.tools.parser
This is an abstract base class for ParserModel implementations.
ParserModel(String, AbstractModel, AbstractModel, AbstractModel, POSModel, ChunkerModel, HeadRules, ParserType, Map<String, String>) - Constructor for class opennlp.tools.parser.ParserModel
 
ParserModel(String, AbstractModel, AbstractModel, AbstractModel, POSModel, ChunkerModel, HeadRules, ParserType) - Constructor for class opennlp.tools.parser.ParserModel
 
ParserModel(String, AbstractModel, AbstractModel, POSModel, ChunkerModel, HeadRules, ParserType, Map<String, String>) - Constructor for class opennlp.tools.parser.ParserModel
 
ParserModel(InputStream) - Constructor for class opennlp.tools.parser.ParserModel
 
ParserModel(File) - Constructor for class opennlp.tools.parser.ParserModel
 
ParserModel(URL) - Constructor for class opennlp.tools.parser.ParserModel
 
ParserModelLoader - Class in opennlp.tools.cmdline.parser
Loads a Parser Model for the command line tools.
ParserModelLoader() - Constructor for class opennlp.tools.cmdline.parser.ParserModelLoader
 
ParserModelResource - Interface in opennlp.uima.parser
 
ParserModelResourceImpl - Class in opennlp.uima.parser
 
ParserModelResourceImpl() - Constructor for class opennlp.uima.parser.ParserModelResourceImpl
 
ParserTool - Class in opennlp.tools.cmdline.parser
 
ParserTool() - Constructor for class opennlp.tools.cmdline.parser.ParserTool
 
ParserTrainerTool - Class in opennlp.tools.cmdline.parser
 
ParserTrainerTool() - Constructor for class opennlp.tools.cmdline.parser.ParserTrainerTool
 
ParserType - Enum in opennlp.tools.parser
 
ParseSampleStream - Class in opennlp.tools.parser
 
ParseSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.parser.ParseSampleStream
 
ParseSampleStreamFactory - Class in opennlp.tools.formats
Factory producing OpenNLP ParseSampleStreams.
ParseSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.ParseSampleStreamFactory
 
ParseSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
 
ParseToPOSSampleStream - Class in opennlp.tools.formats.convert
Note: Do not use this class, internal use only!
ParseToPOSSampleStream(ObjectStream<Parse>) - Constructor for class opennlp.tools.formats.convert.ParseToPOSSampleStream
 
ParseToPOSSampleStreamFactory - Class in opennlp.tools.formats.convert
Note: Do not use this class, internal use only!
ParseToSentenceSampleStreamFactory - Class in opennlp.tools.formats.convert
Note: Do not use this class, internal use only!
ParseToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert
Note: Do not use this class, internal use only!
passesCutoff(int) - Method in class opennlp.maxent.Counter
 
PERCEPTRON_SEQUENCE_VALUE - Static variable in class opennlp.model.TrainUtil
 
PERCEPTRON_VALUE - Static variable in class opennlp.model.TrainUtil
 
PerceptronModel - Class in opennlp.perceptron
 
PerceptronModel(Context[], String[], IndexHashTable<String>, String[]) - Constructor for class opennlp.perceptron.PerceptronModel
 
PerceptronModel(Context[], String[], Map<String, Integer>, String[]) - Constructor for class opennlp.perceptron.PerceptronModel
Deprecated.
use the constructor with the IndexHashTable instead!
PerceptronModel(Context[], String[], String[]) - Constructor for class opennlp.perceptron.PerceptronModel
 
PerceptronModelReader - Class in opennlp.perceptron
Abstract parent class for readers of Perceptron.
PerceptronModelReader(File) - Constructor for class opennlp.perceptron.PerceptronModelReader
 
PerceptronModelReader(DataReader) - Constructor for class opennlp.perceptron.PerceptronModelReader
 
PerceptronModelWriter - Class in opennlp.perceptron
Abstract parent class for Perceptron writers.
PerceptronModelWriter(AbstractModel) - Constructor for class opennlp.perceptron.PerceptronModelWriter
 
PerceptronTrainer - Class in opennlp.perceptron
Trains models using the perceptron algorithm.
PerceptronTrainer() - Constructor for class opennlp.perceptron.PerceptronTrainer
 
PerfectResolver - Class in opennlp.tools.coref.resolver
Resolver used in training to update the discourse model based on the coreference annotation.
PerfectResolver() - Constructor for class opennlp.tools.coref.resolver.PerfectResolver
 
PerformanceMonitor - Class in opennlp.tools.cmdline
The PerformanceMonitor measures increments to a counter.
PerformanceMonitor(PrintStream, String) - Constructor for class opennlp.tools.cmdline.PerformanceMonitor
 
PerformanceMonitor(String) - Constructor for class opennlp.tools.cmdline.PerformanceMonitor
 
persist() - Method in class opennlp.maxent.io.GISModelWriter
Writes the model to disk, using the writeX() methods provided by extending classes.
persist() - Method in class opennlp.maxent.io.QNModelWriter
 
persist() - Method in class opennlp.model.AbstractModelWriter
 
persist() - Method in class opennlp.model.GenericModelWriter
 
persist() - Method in class opennlp.perceptron.PerceptronModelWriter
Writes the model to disk, using the writeX() methods provided by extending classes.
phrasesAsSpanList(String[], String[], String[]) - Static method in class opennlp.tools.chunker.ChunkSample
Static method to create arrays of spans of phrases
PlainTextByLineDataStream - Class in opennlp.maxent
This DataStream implementation will take care of reading a plain text file and returning the Strings between each new line character, which is what many Maxent applications need in order to create EventStreams.
PlainTextByLineDataStream(Reader) - Constructor for class opennlp.maxent.PlainTextByLineDataStream
 
PlainTextByLineStream - Class in opennlp.tools.util
Reads a plain text file and return each line as a String object.
PlainTextByLineStream(Reader) - Constructor for class opennlp.tools.util.PlainTextByLineStream
Initializes the current instance.
PlainTextByLineStream(InputStream, String) - Constructor for class opennlp.tools.util.PlainTextByLineStream
 
PlainTextByLineStream(InputStream, Charset) - Constructor for class opennlp.tools.util.PlainTextByLineStream
 
PlainTextByLineStream(FileChannel, String) - Constructor for class opennlp.tools.util.PlainTextByLineStream
 
PlainTextByLineStream(FileChannel, Charset) - Constructor for class opennlp.tools.util.PlainTextByLineStream
 
PlainTextFileDataReader - Class in opennlp.model
 
PlainTextFileDataReader(File) - Constructor for class opennlp.model.PlainTextFileDataReader
 
PlainTextFileDataReader(InputStream) - Constructor for class opennlp.model.PlainTextFileDataReader
 
PlainTextFileDataReader(BufferedReader) - Constructor for class opennlp.model.PlainTextFileDataReader
 
PlainTextGISModelReader - Class in opennlp.maxent.io
A reader for GIS models stored in plain text format.
PlainTextGISModelReader(BufferedReader) - Constructor for class opennlp.maxent.io.PlainTextGISModelReader
Constructor which directly instantiates the BufferedReader containing the model contents.
PlainTextGISModelReader(File) - Constructor for class opennlp.maxent.io.PlainTextGISModelReader
Constructor which takes a File and creates a reader for it.
PlainTextGISModelWriter - Class in opennlp.maxent.io
Model writer that saves models in plain text format.
PlainTextGISModelWriter(AbstractModel, File) - Constructor for class opennlp.maxent.io.PlainTextGISModelWriter
Constructor which takes a GISModel and a File and prepares itself to write the model to that file.
PlainTextGISModelWriter(AbstractModel, BufferedWriter) - Constructor for class opennlp.maxent.io.PlainTextGISModelWriter
Constructor which takes a GISModel and a BufferedWriter and prepares itself to write the model to that writer.
PlainTextPerceptronModelReader - Class in opennlp.perceptron
 
PlainTextPerceptronModelReader(BufferedReader) - Constructor for class opennlp.perceptron.PlainTextPerceptronModelReader
Constructor which directly instantiates the BufferedReader containing the model contents.
PlainTextPerceptronModelReader(File) - Constructor for class opennlp.perceptron.PlainTextPerceptronModelReader
Constructor which takes a File and creates a reader for it.
PlainTextPerceptronModelWriter - Class in opennlp.perceptron
Model writer that saves models in plain text format.
PlainTextPerceptronModelWriter(AbstractModel, File) - Constructor for class opennlp.perceptron.PlainTextPerceptronModelWriter
Constructor which takes a PerceptronModel and a File and prepares itself to write the model to that file.
PlainTextPerceptronModelWriter(AbstractModel, BufferedWriter) - Constructor for class opennlp.perceptron.PlainTextPerceptronModelWriter
Constructor which takes a PerceptronModel and a BufferedWriter and prepares itself to write the model to that writer.
PLURAL - Static variable in class opennlp.tools.coref.sim.NumberEnum
Plural number type.
PluralNounResolver - Class in opennlp.tools.coref.resolver
Resolves coreference between plural nouns.
PluralNounResolver(String, ResolverMode) - Constructor for class opennlp.tools.coref.resolver.PluralNounResolver
 
PluralNounResolver(String, ResolverMode, NonReferentialResolver) - Constructor for class opennlp.tools.coref.resolver.PluralNounResolver
 
pluralPronounPattern - Static variable in class opennlp.tools.coref.resolver.ResolverUtils
Regular expression for English plural pronouns.
PluralPronounResolver - Class in opennlp.tools.coref.resolver
Resolves coreference between plural pronouns and their referents.
PluralPronounResolver(String, ResolverMode) - Constructor for class opennlp.tools.coref.resolver.PluralPronounResolver
 
PluralPronounResolver(String, ResolverMode, NonReferentialResolver) - Constructor for class opennlp.tools.coref.resolver.PluralPronounResolver
 
pluralThirdPersonPronounPattern - Static variable in class opennlp.tools.coref.resolver.ResolverUtils
Regular expression for English plural third person pronouns.
pmap - Variable in class opennlp.maxent.io.QNModelWriter
 
pmap - Variable in class opennlp.model.AbstractModel
Mapping between predicates/contexts and an integer representing them.
PooledGISModelReader - Class in opennlp.maxent.io
This class works exactly like the SuffisSensitiveGISModelReader except that it attempts to pool all context strings.
PooledGISModelReader(File) - Constructor for class opennlp.maxent.io.PooledGISModelReader
A reader for GIS models which inspects the filename and invokes the appropriate GISModelReader depending on the filename's suffixes.
populatePOSDictionary(ObjectStream<POSSample>, MutableTagDictionary, int) - Static method in class opennlp.tools.postag.POSTaggerME
 
PortugueseContractionUtility - Class in opennlp.tools.formats.ad
Utility class to handle Portuguese contractions.
PortugueseContractionUtility() - Constructor for class opennlp.tools.formats.ad.PortugueseContractionUtility
 
POS_FEATURE_PARAMETER - Static variable in class opennlp.uima.util.UimaUtil
The pos feature parameter.
POS_MODEL_ENTRY_NAME - Static variable in class opennlp.tools.postag.POSModel
 
POSContextGenerator - Interface in opennlp.tools.postag
The interface for a context generator for the POS Tagger.
POSDictionary - Class in opennlp.tools.postag
Provides a means of determining which tags are valid for a particular word based on a tag dictionary read from a file.
POSDictionary() - Constructor for class opennlp.tools.postag.POSDictionary
Initializes an empty case sensitive POSDictionary.
POSDictionary(boolean) - Constructor for class opennlp.tools.postag.POSDictionary
Initializes an empty POSDictionary.
POSDictionary(String) - Constructor for class opennlp.tools.postag.POSDictionary
Deprecated.
Use POSDictionary.create(InputStream) instead, old format might removed.
POSDictionary(String, boolean) - Constructor for class opennlp.tools.postag.POSDictionary
Deprecated.
Use POSDictionary.create(InputStream) instead, old format might removed.
POSDictionary(String, String, boolean) - Constructor for class opennlp.tools.postag.POSDictionary
Deprecated.
Use POSDictionary.create(InputStream) instead, old format might removed.
POSDictionary(BufferedReader, boolean) - Constructor for class opennlp.tools.postag.POSDictionary
Deprecated.
Use POSDictionary.create(InputStream) instead, old format might removed.
posDictionary - Variable in class opennlp.tools.postag.POSTaggerFactory
 
POSDictionaryWriter - Class in opennlp.tools.postag
Deprecated.
POSDictionaryWriter(String, String) - Constructor for class opennlp.tools.postag.POSDictionaryWriter
Deprecated.
 
POSDictionaryWriter(String) - Constructor for class opennlp.tools.postag.POSDictionaryWriter
Deprecated.
 
POSEvaluationErrorListener - Class in opennlp.tools.cmdline.postag
A default implementation of EvaluationMonitor that prints to an output stream.
POSEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.postag.POSEvaluationErrorListener
Creates a listener that will print to System.err
POSEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.postag.POSEvaluationErrorListener
Creates a listener that will print to a given OutputStream
POSEvaluator - Class in opennlp.tools.postag
The POSEvaluator measures the performance of the given POSTagger with the provided reference POSSamples.
POSEvaluator(POSTagger, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSEvaluator
Initializes the current instance.
POSModel - Class in opennlp.tools.postag
The POSModel is the model used by a learnable POSTagger.
POSModel(String, AbstractModel, POSDictionary, Dictionary, Map<String, String>) - Constructor for class opennlp.tools.postag.POSModel
POSModel(String, AbstractModel, POSDictionary, Dictionary) - Constructor for class opennlp.tools.postag.POSModel
POSModel(String, AbstractModel, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel
 
POSModel(InputStream) - Constructor for class opennlp.tools.postag.POSModel
 
POSModel(File) - Constructor for class opennlp.tools.postag.POSModel
 
POSModel(URL) - Constructor for class opennlp.tools.postag.POSModel
 
posModel - Variable in class opennlp.tools.postag.POSTaggerME
The maximum entropy model to use to evaluate contexts.
POSModelLoader - Class in opennlp.tools.cmdline.postag
Loads a POS Tagger Model for the command line tools.
POSModelLoader() - Constructor for class opennlp.tools.cmdline.postag.POSModelLoader
 
POSModelResource - Interface in opennlp.uima.postag
 
POSModelResourceImpl - Class in opennlp.uima.postag
 
POSModelResourceImpl() - Constructor for class opennlp.uima.postag.POSModelResourceImpl
 
POSSample - Class in opennlp.tools.postag
Represents an pos-tagged sentence.
POSSample(String[], String[]) - Constructor for class opennlp.tools.postag.POSSample
 
POSSample(List<String>, List<String>) - Constructor for class opennlp.tools.postag.POSSample
 
POSSample(List<String>, List<String>, String[][]) - Constructor for class opennlp.tools.postag.POSSample
 
POSSample(String[], String[], String[][]) - Constructor for class opennlp.tools.postag.POSSample
 
POSSampleEventStream - Class in opennlp.tools.postag
This class reads the POSSamples from the given Iterator and converts the POSSamples into Events which can be used by the maxent library for training.
POSSampleEventStream(ObjectStream<POSSample>, POSContextGenerator) - Constructor for class opennlp.tools.postag.POSSampleEventStream
Initializes the current instance with the given samples and the given POSContextGenerator.
POSSampleEventStream(ObjectStream<POSSample>) - Constructor for class opennlp.tools.postag.POSSampleEventStream
Initializes the current instance with given samples and a DefaultPOSContextGenerator.
POSSampleSequenceStream - Class in opennlp.tools.postag
 
POSSampleSequenceStream(ObjectStream<POSSample>) - Constructor for class opennlp.tools.postag.POSSampleSequenceStream
 
POSSampleSequenceStream(ObjectStream<POSSample>, POSContextGenerator) - Constructor for class opennlp.tools.postag.POSSampleSequenceStream
 
PosSampleStream - Class in opennlp.tools.parser
 
PosSampleStream(ObjectStream<Parse>) - Constructor for class opennlp.tools.parser.PosSampleStream
 
POSTagger - Interface in opennlp.tools.postag
The interface for part of speech taggers.
POSTagger - Class in opennlp.uima.postag
OpenNLP Part Of Speech annotator.
POSTagger() - Constructor for class opennlp.uima.postag.POSTagger
Initializes a new instance.
POSTaggerConverterTool - Class in opennlp.tools.cmdline.postag
 
POSTaggerConverterTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerConverterTool
 
POSTaggerCrossValidator - Class in opennlp.tools.postag
 
POSTaggerCrossValidator(String, TrainingParameters, File, Integer, Integer, String, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator
Creates a POSTaggerCrossValidator that builds a ngram dictionary dynamically.
POSTaggerCrossValidator(String, TrainingParameters, POSTaggerFactory, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator
Creates a POSTaggerCrossValidator using the given POSTaggerFactory.
POSTaggerCrossValidator(String, ModelType, POSDictionary, Dictionary, int, int) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator
POSTaggerCrossValidator(String, ModelType, POSDictionary, Dictionary) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator
POSTaggerCrossValidator(String, TrainingParameters, POSDictionary, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator
POSTaggerCrossValidator(String, TrainingParameters, POSDictionary, Integer, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator
Deprecated.
use #POSTaggerCrossValidator(String, TrainingParameters, POSDictionary, Integer, String, POSTaggerEvaluationMonitor...) instead and pass in the name of POSTaggerFactory sub-class.
POSTaggerCrossValidator(String, TrainingParameters, POSDictionary, Dictionary, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator
POSTaggerCrossValidatorTool - Class in opennlp.tools.cmdline.postag
 
POSTaggerCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool
 
POSTaggerEvaluationMonitor - Interface in opennlp.tools.postag
 
POSTaggerEvaluatorTool - Class in opennlp.tools.cmdline.postag
 
POSTaggerEvaluatorTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerEvaluatorTool
 
POSTaggerFactory - Class in opennlp.tools.postag
The factory that provides POS Tagger default implementations and resources
POSTaggerFactory() - Constructor for class opennlp.tools.postag.POSTaggerFactory
Creates a POSTaggerFactory that provides the default implementation of the resources.
POSTaggerFactory(Dictionary, TagDictionary) - Constructor for class opennlp.tools.postag.POSTaggerFactory
Creates a POSTaggerFactory.
POSTaggerFineGrainedReportListener - Class in opennlp.tools.cmdline.postag
Generates a detailed report for the POS Tagger.
POSTaggerFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
Creates a listener that will print to System.err
POSTaggerFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
Creates a listener that prints to a given OutputStream
POSTaggerME - Class in opennlp.tools.postag
A part-of-speech tagger that uses maximum entropy.
POSTaggerME(POSModel, int, int, SequenceValidator<String>) - Constructor for class opennlp.tools.postag.POSTaggerME
Deprecated.
use POSTaggerME.POSTaggerME(POSModel, int, int) instead. The model knows which SequenceValidator to use.
POSTaggerME(POSModel, int, int) - Constructor for class opennlp.tools.postag.POSTaggerME
Initializes the current instance with the provided model and provided beam size.
POSTaggerME(POSModel) - Constructor for class opennlp.tools.postag.POSTaggerME
Initializes the current instance with the provided model and the default beam size of 3.
POSTaggerME(AbstractModel, TagDictionary) - Constructor for class opennlp.tools.postag.POSTaggerME
Deprecated.
POSTaggerME(AbstractModel, Dictionary) - Constructor for class opennlp.tools.postag.POSTaggerME
Deprecated.
POSTaggerME(AbstractModel, Dictionary, TagDictionary) - Constructor for class opennlp.tools.postag.POSTaggerME
Deprecated.
POSTaggerME(AbstractModel, POSContextGenerator) - Constructor for class opennlp.tools.postag.POSTaggerME
Deprecated.
POSTaggerME(AbstractModel, POSContextGenerator, TagDictionary) - Constructor for class opennlp.tools.postag.POSTaggerME
Deprecated.
POSTaggerME(int, AbstractModel, POSContextGenerator, TagDictionary) - Constructor for class opennlp.tools.postag.POSTaggerME
Deprecated.
POSTaggerTool - Class in opennlp.tools.cmdline.postag
 
POSTaggerTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerTool
 
POSTaggerTrainer - Class in opennlp.tools.postag
POSTaggerTrainer() - Constructor for class opennlp.tools.postag.POSTaggerTrainer
Deprecated.
 
POSTaggerTrainer - Class in opennlp.uima.postag
OpenNLP POSTagger trainer.
POSTaggerTrainer() - Constructor for class opennlp.uima.postag.POSTaggerTrainer
 
POSTaggerTrainerTool - Class in opennlp.tools.cmdline.postag
 
POSTaggerTrainerTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerTrainerTool
 
POSToSentenceSampleStream - Class in opennlp.tools.formats.convert
Note: Do not use this class, internal use only!
POSToSentenceSampleStream(Detokenizer, ObjectStream<POSSample>, int) - Constructor for class opennlp.tools.formats.convert.POSToSentenceSampleStream
 
POSToSentenceSampleStreamFactory - Class in opennlp.tools.formats.convert
Note: Do not use this class, internal use only!
POSToSentenceSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.convert.POSToSentenceSampleStreamFactory
 
POSToTokenSampleStream - Class in opennlp.tools.formats.convert
Note: Do not use this class, internal use only!
POSToTokenSampleStream(Detokenizer, ObjectStream<POSSample>) - Constructor for class opennlp.tools.formats.convert.POSToTokenSampleStream
 
POSToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert
Note: Do not use this class, internal use only!
POSToTokenSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.convert.POSToTokenSampleStreamFactory
 
postProcessAnnotations(Span[], AnnotationFS[]) - Method in class opennlp.uima.namefind.NameFinder
 
postProcessAnnotations(AnnotationFS[]) - Method in class opennlp.uima.sentdetect.AbstractSentenceDetector
 
postProcessAnnotations(AnnotationFS[]) - Method in class opennlp.uima.sentdetect.SentenceDetector
 
postProcessAnnotations(Span[], AnnotationFS[]) - Method in class opennlp.uima.tokenize.AbstractTokenizer
 
postProcessAnnotations(Span[], AnnotationFS[]) - Method in class opennlp.uima.tokenize.Tokenizer
 
precision(Object[], Object[]) - Static method in class opennlp.tools.util.eval.FMeasure
Calculates the precision score for the given reference and predicted spans.
PRED_LABELS - Variable in class opennlp.maxent.io.GISModelWriter
 
PRED_LABELS - Variable in class opennlp.perceptron.PerceptronModelWriter
 
predCounts - Variable in class opennlp.model.AbstractDataIndexer
The number of times each predicate occured.
predIndexes - Variable in class opennlp.model.ComparableEvent
 
predLabels - Variable in class opennlp.model.AbstractDataIndexer
The predicate/context names.
predNames - Variable in class opennlp.maxent.io.QNModelWriter
 
predParams - Variable in class opennlp.maxent.io.QNModelWriter
 
preferFirstReferent - Variable in class opennlp.tools.coref.resolver.MaxentResolver
When true, this designates that the resolver should use the first referent encountered which it more preferable than non-reference.
PrefixFeatureGenerator - Class in opennlp.tools.util.featuregen
 
PrefixFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PrefixFeatureGenerator
 
PREV_PREFIX - Static variable in class opennlp.tools.util.featuregen.WindowFeatureGenerator
 
PreviousMapFeatureGenerator - Class in opennlp.tools.util.featuregen
This FeatureGeneratorAdapter generates features indicating the outcome associated with a previously occuring word.
PreviousMapFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator
 
PRINT_MESSAGES - Static variable in class opennlp.maxent.GIS
Set this to false if you don't want messages about the progress of model training displayed.
printError(Span[], Span[], T, T, String) - Method in class opennlp.tools.cmdline.EvaluationErrorPrinter
 
printError(Span[], Span[], T, T, String[]) - Method in class opennlp.tools.cmdline.EvaluationErrorPrinter
 
printError(String[], String[], T, T, String[]) - Method in class opennlp.tools.cmdline.EvaluationErrorPrinter
 
prior - Variable in class opennlp.model.AbstractModel
Prior distribution for this model.
Prior - Interface in opennlp.model
This interface allows one to implement a prior distribution for use in maximum entropy model training.
PROBABILITY_FEATURE_PARAMETER - Static variable in class opennlp.uima.parser.Parser
 
PROBABILITY_FEATURE_PARAMETER - Static variable in class opennlp.uima.util.UimaUtil
 
probs(double[]) - Method in class opennlp.tools.chunker.ChunkerME
Populates the specified array with the probabilities of the last decoded sequence.
probs() - Method in class opennlp.tools.chunker.ChunkerME
Returns an array with the probabilities of the last decoded sequence.
probs(double[]) - Method in class opennlp.tools.namefind.NameFinderME
Populates the specified array with the probabilities of the last decoded sequence.
probs() - Method in class opennlp.tools.namefind.NameFinderME
Returns an array with the probabilities of the last decoded sequence.
probs(Span[]) - Method in class opennlp.tools.namefind.NameFinderME
Returns an array of probabilities for each of the specified spans which is the arithmetic mean of the probabilities for each of the outcomes which make up the span.
probs(double[]) - Method in class opennlp.tools.postag.POSTaggerME
Populates the specified array with the probabilities for each tag of the last tagged sentence.
probs() - Method in class opennlp.tools.postag.POSTaggerME
Returns an array with the probabilities for each tag of the last tagged sentence.
process(CAS) - Method in class opennlp.uima.chunker.Chunker
Performs chunking on the given tcas object.
process(CAS) - Method in class opennlp.uima.normalizer.Normalizer
 
process(CAS) - Method in class opennlp.uima.parser.Parser
Performs parsing on the given CAS object.
process(CAS, AnnotationFS) - Method in class opennlp.uima.parser.Parser
 
process(CAS) - Method in class opennlp.uima.postag.POSTagger
Performs pos-tagging on the given tcas object.
process(CAS) - Method in class opennlp.uima.sentdetect.AbstractSentenceDetector
 
process(CAS) - Method in class opennlp.uima.tokenize.AbstractTokenizer
 
processCas(CAS) - Method in class opennlp.uima.chunker.ChunkerTrainer
Process the given CAS object.
processCas(CAS) - Method in class opennlp.uima.doccat.DocumentCategorizerTrainer
 
processCas(CAS) - Method in class opennlp.uima.namefind.NameFinderTrainer
Process the given CAS object.
processCas(CAS) - Method in class opennlp.uima.postag.POSTaggerTrainer
Process the given CAS object.
processCas(CAS) - Method in class opennlp.uima.sentdetect.SentenceDetectorTrainer
Process the given CAS object.
processCas(CAS) - Method in class opennlp.uima.tokenize.TokenizerTrainer
Process the given CAS object.
processLeaf(ADSentenceStream.SentenceParser.Leaf, boolean, String, List<String>, List<String>, List<String>) - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
 
processRoot(ADSentenceStream.SentenceParser.Node, List<String>, List<String>, List<String>) - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
 
processSample(ChunkSample) - Method in class opennlp.tools.chunker.ChunkerEvaluator
Evaluates the given reference ChunkSample object.
processSample(NameSample) - Method in class opennlp.tools.namefind.TokenNameFinderEvaluator
Evaluates the given reference NameSample object.
processSample(POSSample) - Method in class opennlp.tools.postag.POSEvaluator
Evaluates the given reference POSSample object.
processSample(SentenceSample) - Method in class opennlp.tools.sentdetect.SentenceDetectorEvaluator
 
processSample(TokenSample) - Method in class opennlp.tools.tokenize.TokenizerEvaluator
 
processSample(T) - Method in class opennlp.tools.util.eval.Evaluator
Evaluates the given reference sample object.
production(Parse, boolean) - Method in class opennlp.tools.parser.AbstractContextGenerator
Generates a string representing the grammar rule production that the specified parse is starting.
PRONOUN_MODIFIER - Static variable in interface opennlp.tools.coref.Linker
String constant used to label a mention which is a pronoun.
PROPER_NOUN_MODIFIER - Static variable in interface opennlp.tools.coref.Linker
String constant used to label a mention which is a proper noun modifying another noun.
ProperNounResolver - Class in opennlp.tools.coref.resolver
Resolves coreference between proper nouns.
ProperNounResolver(String, ResolverMode) - Constructor for class opennlp.tools.coref.resolver.ProperNounResolver
 
ProperNounResolver(String, ResolverMode, NonReferentialResolver) - Constructor for class opennlp.tools.coref.resolver.ProperNounResolver
 
pruneParse(Parse) - Static method in class opennlp.tools.parser.Parse
Prune the specified sentence parse of vacuous productions.
PTBHeadFinder - Class in opennlp.tools.coref.mention
Finds head information from Penn Treebank style parses.
PTBMentionFinder - Class in opennlp.tools.coref.mention
Finds mentions from Penn Treebank style parses.
ptEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory
 
punct(Parse, int) - Method in class opennlp.tools.parser.AbstractContextGenerator
Creates punctuation feature for the specified punctuation at the specified index based on the punctuation mark.
punctbo(Parse, int) - Method in class opennlp.tools.parser.AbstractContextGenerator
Creates punctuation feature for the specified punctuation at the specfied index based on the punctuation's tag.
punctSet - Variable in class opennlp.tools.parser.AbstractBottomUpParser
The set strings which are considered punctuation for the parser.
punctSet - Variable in class opennlp.tools.parser.AbstractContextGenerator
Set of punctuation to be used in generating features.
punctSet - Variable in class opennlp.tools.parser.AbstractParserEventStream
 
put(StringList) - Method in class opennlp.tools.dictionary.Dictionary
Adds the tokens to the dictionary as one new entry.
put(String, String...) - Method in interface opennlp.tools.postag.MutableTagDictionary
Associates the specified tags with the specified word.
put(String, String...) - Method in class opennlp.tools.postag.POSDictionary
 
put(Object, Object) - Method in class opennlp.tools.util.Cache
 
put(Object, Object) - Method in class opennlp.tools.util.HashList
 
put(String, String, String) - Method in class opennlp.tools.util.TrainingParameters
 
put(String, String) - Method in class opennlp.tools.util.TrainingParameters
 
put(StringList, String) - Method in class opennlp.uima.normalizer.StringDictionary
 
putAll(Map) - Method in class opennlp.tools.util.Cache
 
putAll(Object, Collection) - Method in class opennlp.tools.util.HashList
 

Q

Q - Variable in class opennlp.tools.parser.AbstractBottomUpParser
The minimum total probability mass of advanced outcomes.
QNModel - Class in opennlp.maxent.quasinewton
 
QNModel(LogLikelihoodFunction, double[]) - Constructor for class opennlp.maxent.quasinewton.QNModel
 
QNModel(String[], String[], Context[], double[]) - Constructor for class opennlp.maxent.quasinewton.QNModel
 
QNModelReader - Class in opennlp.maxent.io
 
QNModelReader(DataReader) - Constructor for class opennlp.maxent.io.QNModelReader
 
QNModelReader(File) - Constructor for class opennlp.maxent.io.QNModelReader
 
QNModelWriter - Class in opennlp.maxent.io
 
QNModelWriter(AbstractModel) - Constructor for class opennlp.maxent.io.QNModelWriter
 
QNTrainer - Class in opennlp.maxent.quasinewton
maxent model trainer using l-bfgs algorithm.
QNTrainer() - Constructor for class opennlp.maxent.quasinewton.QNTrainer
 
QNTrainer(boolean) - Constructor for class opennlp.maxent.quasinewton.QNTrainer
 
QNTrainer(int) - Constructor for class opennlp.maxent.quasinewton.QNTrainer
 
QNTrainer(int, boolean) - Constructor for class opennlp.maxent.quasinewton.QNTrainer
 
QNTrainer(int, int, boolean) - Constructor for class opennlp.maxent.quasinewton.QNTrainer
 

R

RawCorefSample - Class in opennlp.tools.formats.muc
A coreference sample as it is extracted from MUC style training data.
read() - Method in class opennlp.tools.chunker.ChunkSampleStream
 
read() - Method in class opennlp.tools.coref.CorefSampleDataStream
 
read() - Method in class opennlp.tools.doccat.DocumentSampleStream
 
read() - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
 
read() - Method in class opennlp.tools.formats.ad.ADNameSampleStream
 
read() - Method in class opennlp.tools.formats.ad.ADPOSSampleStream
 
read() - Method in class opennlp.tools.formats.ad.ADSentenceSampleStream
 
read() - Method in class opennlp.tools.formats.ad.ADSentenceStream
 
read() - Method in class opennlp.tools.formats.BioNLP2004NameSampleStream
 
read() - Method in class opennlp.tools.formats.Conll02NameSampleStream
 
read() - Method in class opennlp.tools.formats.Conll03NameSampleStream
 
read() - Method in class opennlp.tools.formats.ConllXPOSSampleStream
 
read() - Method in class opennlp.tools.formats.convert.AbstractToSentenceSampleStream
 
read() - Method in class opennlp.tools.formats.convert.FileToByteArraySampleStream
 
read() - Method in class opennlp.tools.formats.convert.FileToStringSampleStream
 
read() - Method in class opennlp.tools.formats.convert.NameToTokenSampleStream
 
read() - Method in class opennlp.tools.formats.convert.ParseToPOSSampleStream
 
read() - Method in class opennlp.tools.formats.convert.POSToTokenSampleStream
 
read() - Method in class opennlp.tools.formats.DirectorySampleStream
 
read() - Method in class opennlp.tools.formats.frenchtreebank.ConstitParseSampleStream
 
read() - Method in class opennlp.tools.formats.LeipzigDoccatSampleStream
 
read() - Method in class opennlp.tools.formats.muc.FullParseCorefEnhancerStream
 
read() - Method in class opennlp.tools.formats.muc.MucCorefSampleStream
 
read() - Method in class opennlp.tools.formats.muc.MucMentionInserterStream
 
read() - Method in class opennlp.tools.formats.muc.MucNameSampleStream
 
read() - Method in class opennlp.tools.formats.muc.NameFinderCorefEnhancerStream
 
read() - Method in class opennlp.tools.formats.muc.ShallowParseCorefEnhancerStream
 
read() - Method in class opennlp.tools.formats.NameFinderCensus90NameStream
 
read() - Method in class opennlp.tools.namefind.NameSampleDataStream
 
read() - Method in class opennlp.tools.namefind.NameSampleTypeFilter
 
read() - Method in class opennlp.tools.parser.ChunkSampleStream
 
read() - Method in class opennlp.tools.parser.ParseSampleStream
 
read() - Method in class opennlp.tools.parser.PosSampleStream
 
read() - Method in class opennlp.tools.postag.WordTagSampleStream
Parses the next sentence and return the next POSSample object.
read() - Method in class opennlp.tools.sentdetect.EmptyLinePreprocessorStream
 
read() - Method in class opennlp.tools.sentdetect.SentenceSampleStream
 
read() - Method in class opennlp.tools.tokenize.TokenizerStream
 
read() - Method in class opennlp.tools.tokenize.TokenSampleStream
 
read() - Method in class opennlp.tools.tokenize.WhitespaceTokenStream
 
read() - Method in class opennlp.tools.util.CollectionObjectStream
 
read() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
 
read(InputStream) - Static method in class opennlp.tools.util.model.ModelUtil
Writes the provided InputStream into a byte array which is returned
read() - Method in interface opennlp.tools.util.ObjectStream
Returns the next object.
read() - Method in class opennlp.tools.util.ParagraphStream
 
read() - Method in class opennlp.tools.util.PlainTextByLineStream
 
read() - Method in class opennlp.uima.util.SampleTraceStream
 
readDouble() - Method in class opennlp.model.AbstractModelReader
Implement as needed for the format the model is stored in.
readDouble() - Method in class opennlp.model.BinaryFileDataReader
 
readDouble() - Method in interface opennlp.model.DataReader
 
readDouble() - Method in class opennlp.model.ObjectDataReader
 
readDouble() - Method in class opennlp.model.PlainTextFileDataReader
 
readInt() - Method in class opennlp.model.AbstractModelReader
Implement as needed for the format the model is stored in.
readInt() - Method in class opennlp.model.BinaryFileDataReader
 
readInt() - Method in interface opennlp.model.DataReader
 
readInt() - Method in class opennlp.model.ObjectDataReader
 
readInt() - Method in class opennlp.model.PlainTextFileDataReader
 
readUTF() - Method in class opennlp.maxent.io.PooledGISModelReader
 
readUTF() - Method in class opennlp.model.AbstractModelReader
Implement as needed for the format the model is stored in.
readUTF() - Method in class opennlp.model.BinaryFileDataReader
 
readUTF() - Method in interface opennlp.model.DataReader
 
readUTF() - Method in class opennlp.model.ObjectDataReader
 
readUTF() - Method in class opennlp.model.PlainTextFileDataReader
 
RealBasicEventStream - Class in opennlp.maxent
 
RealBasicEventStream(DataStream) - Constructor for class opennlp.maxent.RealBasicEventStream
 
RealValueFileEventStream - Class in opennlp.model
 
RealValueFileEventStream(String) - Constructor for class opennlp.model.RealValueFileEventStream
 
RealValueFileEventStream(String, String) - Constructor for class opennlp.model.RealValueFileEventStream
 
RealValueFileEventStream(File) - Constructor for class opennlp.model.RealValueFileEventStream
 
recall(Object[], Object[]) - Static method in class opennlp.tools.util.eval.FMeasure
Calculates the recall score for the given reference and predicted spans.
recognize(String) - Static method in class opennlp.tools.util.featuregen.StringPattern
 
reduceChunks(Parse[], int, Parse) - Static method in class opennlp.tools.parser.chunking.ParserEventStream
 
RegexNameFinder - Class in opennlp.tools.namefind
Name finder based on a series of regular expressions.
RegexNameFinder(Pattern[], String) - Constructor for class opennlp.tools.namefind.RegexNameFinder
 
RegexNameFinder(Pattern[]) - Constructor for class opennlp.tools.namefind.RegexNameFinder
 
register(Map<String, ArtifactSerializer>) - Static method in class opennlp.tools.util.model.GenericModelSerializer
 
registerFactory(Class, String, ObjectStreamFactory) - Static method in class opennlp.tools.cmdline.StreamFactoryRegistry
Registers factory which reads format named formatName and instantiates streams producing objects of sampleClass class.
registerFactory() - Static method in class opennlp.tools.formats.ad.ADChunkSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ad.ADNameSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ad.ADPOSSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ad.ADSentenceSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ad.ADTokenSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.BioNLP2004NameSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ChunkerSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.Conll02NameSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.Conll03NameSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ConllXPOSSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ConllXSentenceSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ConllXTokenSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.convert.NameToSentenceSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.convert.NameToTokenSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.convert.ParseToPOSSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.convert.ParseToSentenceSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.convert.ParseToTokenSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.convert.POSToSentenceSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.convert.POSToTokenSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.CorefSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.DocumentSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.frenchtreebank.ConstitParseSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.LeipzigDocumentSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.muc.Muc6FullParseCorefSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.muc.Muc6NameSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.NameSampleDataStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ParseSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.SentenceSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.TokenSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.WordTagSampleStreamFactory
 
remove() - Method in class opennlp.model.AbstractEventStream
 
remove() - Method in class opennlp.model.HashSumEventStream
 
remove() - Method in class opennlp.model.SequenceStreamEventStream
 
remove(StringList) - Method in class opennlp.tools.dictionary.Dictionary
Removes the given tokens form the current instance.
remove(StringList) - Method in class opennlp.tools.ngram.NGramModel
Removes the specified tokens form the NGram model, they are just dropped.
remove(int) - Method in class opennlp.tools.parser.Parse
 
remove() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream
 
remove(Object) - Method in class opennlp.tools.util.Cache
 
remove(Object) - Method in class opennlp.tools.util.CountedSet
 
remove() - Method in class opennlp.tools.util.EventTraceStream
 
remove(Object, Object) - Method in class opennlp.tools.util.HashList
 
remove() - Method in class opennlp.tools.util.HashSumEventStream
Deprecated.
 
remove() - Method in class opennlp.tools.util.ReverseListIterator
 
remove() - Method in class opennlp.uima.util.AnnotationComboIterator
Not supported.
removeAll(Collection<?>) - Method in class opennlp.tools.util.CountedSet
 
removeAnnotations(CAS, AnnotationFS, Type) - Static method in class opennlp.uima.util.UimaUtil
Removes all annotations of type removeAnnotationType which are contained by annotations of type containerAnnotationType.
removeDomain(ModelDomain) - Method in class opennlp.maxent.DomainToModelMap
Removes the mapping for this ModelDomain key from this map if present.
removeUnresolvedMentions - Variable in class opennlp.tools.coref.AbstractLinker
Specifies whether mentions for which no resolver can be used should be added to the discourse model.
replaceModel(MaxentModel) - Method in class opennlp.maxent.ModelReplacementManager
Replace the old model with a new one, forcing the replacement to wait until all threads using the old model have finished using it.
reportFailedParse - Variable in class opennlp.tools.parser.AbstractBottomUpParser
Specifies whether failed parses should be reported to standard error.
reset() - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
 
reset() - Method in class opennlp.tools.formats.ad.ADNameSampleStream
 
reset() - Method in class opennlp.tools.formats.ad.ADPOSSampleStream
 
reset() - Method in class opennlp.tools.formats.ad.ADSentenceSampleStream
 
reset() - Method in class opennlp.tools.formats.BioNLP2004NameSampleStream
 
reset() - Method in class opennlp.tools.formats.Conll02NameSampleStream
 
reset() - Method in class opennlp.tools.formats.Conll03NameSampleStream
 
reset() - Method in class opennlp.tools.formats.DirectorySampleStream
 
reset() - Method in class opennlp.tools.formats.NameFinderCensus90NameStream
 
reset() - Method in class opennlp.tools.tokenize.TokenizerStream
 
reset() - Method in class opennlp.tools.util.CollectionObjectStream
 
reset() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
Resets the training sample.
reset() - Method in class opennlp.tools.util.FilterObjectStream
 
reset() - Method in interface opennlp.tools.util.ObjectStream
Repositions the stream at the beginning and the previously seen object sequence will be repeated exactly.
reset() - Method in class opennlp.tools.util.PlainTextByLineStream
 
reset() - Method in interface opennlp.tools.util.ResetableIterator
Sets the Iterator back to the first retrieved element, the seen sequence of elements must be repeated.
reset() - Method in class opennlp.uima.util.SampleTraceStream
 
ResetableIterator<E> - Interface in opennlp.tools.util
This interface makes an Iterator resetable.
resolve(MentionContext, DiscourseModel) - Method in class opennlp.tools.coref.AbstractLinker
Resolves the specified mention to an entity in the specified discourse model or creates a new entity for the mention.
resolve(MentionContext, DiscourseModel) - Method in class opennlp.tools.coref.resolver.MaxentResolver
 
resolve(MentionContext, DiscourseModel) - Method in class opennlp.tools.coref.resolver.PerfectResolver
 
resolve(MentionContext, DiscourseModel) - Method in interface opennlp.tools.coref.resolver.Resolver
Resolve this referring expression to a discourse entity in the discourse model.
Resolver - Interface in opennlp.tools.coref.resolver
Interface for coreference resolvers.
ResolverMode - Enum in opennlp.tools.coref.resolver
Enumerated type specifying the modes if a resolver.
resolverNames - Variable in class opennlp.tools.coref.AbstractLinker
The names of the resolvers used by this Linker.
resolvers - Variable in class opennlp.tools.coref.AbstractLinker
The resolvers used by this Linker.
ResolverUtils - Class in opennlp.tools.coref.resolver
This class provides a set of utilities for turning mentions into normalized strings and features.
ResolverUtils() - Constructor for class opennlp.tools.coref.resolver.ResolverUtils
 
retain(MentionContext, DiscourseModel) - Method in class opennlp.tools.coref.resolver.AbstractResolver
 
retain(MentionContext, DiscourseModel) - Method in class opennlp.tools.coref.resolver.MaxentResolver
 
retain(MentionContext, DiscourseModel) - Method in interface opennlp.tools.coref.resolver.Resolver
Uses the specified mention and discourse model to train this resolver.
retainAll(Collection<?>) - Method in class opennlp.tools.util.CountedSet
 
ReverseListIterator<T> - Class in opennlp.tools.util
An iterator for a list which returns values in the opposite order as the typical list iterator.
ReverseListIterator(List<T>) - Constructor for class opennlp.tools.util.ReverseListIterator
 
ROUNDED_FORMAT - Static variable in class opennlp.maxent.ModelApplier
 
rules - Variable in class opennlp.tools.parser.AbstractParserEventStream
 
run(String[], Evalable) - Static method in class opennlp.maxent.TrainEval
 
run(String, String[]) - Method in class opennlp.tools.cmdline.AbstractConverterTool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.AbstractEvaluatorTool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.AbstractTrainerTool
 
run(String[]) - Method in class opennlp.tools.cmdline.BasicCmdLineTool
Executes the tool with the given parameters.
run(String, String[]) - Method in class opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool
 
run(String[]) - Method in class opennlp.tools.cmdline.chunker.ChunkerMETool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.chunker.ChunkerTrainerTool
 
run(String[]) - Method in class opennlp.tools.cmdline.coref.CoreferencerTool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.coref.CoreferencerTrainerTool
 
run(String[]) - Method in class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
 
run(String[]) - Method in class opennlp.tools.cmdline.doccat.DoccatTool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.doccat.DoccatTrainerTool
 
run(String[]) - Method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderCrossValidatorTool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool
 
run(String[]) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
 
run(String[]) - Method in class opennlp.tools.cmdline.parser.ParserTool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.parser.ParserTrainerTool
 
run(String[]) - Method in class opennlp.tools.cmdline.parser.TaggerModelReplacerTool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.postag.POSTaggerEvaluatorTool
 
run(String[]) - Method in class opennlp.tools.cmdline.postag.POSTaggerTool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.postag.POSTaggerTrainerTool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorCrossValidatorTool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorEvaluatorTool
 
run(String[]) - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool
Perform sentence detection the input stream.
run(String, String[]) - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTrainerTool
 
run(String[]) - Method in class opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool
 
run(String[]) - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.tokenizer.TokenizerCrossValidatorTool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMEEvaluatorTool
 
run(String[]) - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMETool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.tokenizer.TokenizerTrainerTool
 
run(String, String[]) - Method in class opennlp.tools.cmdline.TypedCmdLineTool
Executes the tool with the given parameters.

S

SAME - Static variable in class opennlp.tools.coref.resolver.MaxentResolver
Outcomes when two mentions are coreferent.
samples - Variable in class opennlp.tools.util.FilterObjectStream
 
sampleStream - Variable in class opennlp.tools.cmdline.AbstractEvaluatorTool
 
sampleStream - Variable in class opennlp.tools.cmdline.AbstractTrainerTool
 
SampleTraceStream<T> - Class in opennlp.uima.util
Writes the samples which are processed by this stream to a file.
SampleTraceStream(ObjectStream<T>, Writer) - Constructor for class opennlp.uima.util.SampleTraceStream
 
SB - Variable in class opennlp.tools.postag.DefaultPOSContextGenerator
 
SDContextGenerator - Interface in opennlp.tools.sentdetect
Interface for SentenceDetectorME context generators.
SDCrossValidator - Class in opennlp.tools.sentdetect
 
SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator
 
SDCrossValidator(String, int, int) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator
SDCrossValidator(String, TrainingParameters) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator
SDCrossValidator(String, int, int, Dictionary) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator
Deprecated.
use #SDCrossValidator(String, TrainingParameters, Dictionary, SentenceDetectorEvaluationMonitor...) instead and pass in a TrainingParameters object.
SDCrossValidator(String, TrainingParameters, SentenceDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator
Deprecated.
use #SDCrossValidator(String, TrainingParameters, Dictionary, SentenceDetectorEvaluationMonitor...) instead and pass in a TrainingParameters object.
SDCrossValidator(String) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator
Deprecated.
use #SDCrossValidator(String, TrainingParameters, Dictionary, SentenceDetectorEvaluationMonitor...) instead and pass in a TrainingParameters object.
SDEventStream - Class in opennlp.tools.sentdetect
 
SDEventStream(ObjectStream<SentenceSample>, SDContextGenerator, EndOfSentenceScanner) - Constructor for class opennlp.tools.sentdetect.SDEventStream
Initializes the current instance.
SE - Variable in class opennlp.tools.postag.DefaultPOSContextGenerator
 
secondPersonPronounPattern - Static variable in class opennlp.tools.coref.resolver.ResolverUtils
Regular expression for English singular second person pronouns.
seen - Variable in class opennlp.model.ComparableEvent
 
SemanticCompatibility - Class in opennlp.tools.coref.sim
Class which models the semantic compatibility of an enity and the confidence of that association.
SemanticCompatibility(SemanticEnum, double) - Constructor for class opennlp.tools.coref.sim.SemanticCompatibility
 
SemanticEnum - Class in opennlp.tools.coref.sim
 
sentDetect(String) - Method in interface opennlp.tools.sentdetect.SentenceDetector
Sentence detect a string.
sentDetect(String) - Method in class opennlp.tools.sentdetect.SentenceDetectorME
Detect sentences in a String.
Sentence() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.Sentence
 
SENTENCE_TYPE_PARAMETER - Static variable in class opennlp.uima.util.UimaUtil
The sentence type parameter.
SentenceContextGenerator - Class in opennlp.tools.sentdetect.lang.th
Creates contexts/features for end-of-sentence detection in Thai text.
SentenceContextGenerator() - Constructor for class opennlp.tools.sentdetect.lang.th.SentenceContextGenerator
 
SentenceDetector - Interface in opennlp.tools.sentdetect
The interface for sentence detectors, which find the sentence boundaries in a text.
SentenceDetector - Class in opennlp.uima.sentdetect
OpenNLP Sentence annotator.
SentenceDetector() - Constructor for class opennlp.uima.sentdetect.SentenceDetector
Initializes a new instance.
SentenceDetectorConverterTool - Class in opennlp.tools.cmdline.sentdetect
 
SentenceDetectorConverterTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorConverterTool
 
SentenceDetectorCrossValidatorTool - Class in opennlp.tools.cmdline.sentdetect
 
SentenceDetectorCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorCrossValidatorTool
 
SentenceDetectorEvaluationMonitor - Interface in opennlp.tools.sentdetect
 
SentenceDetectorEvaluator - Class in opennlp.tools.sentdetect
The SentenceDetectorEvaluator measures the performance of the given SentenceDetector with the provided reference SentenceSamples.
SentenceDetectorEvaluator(SentenceDetector, SentenceDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorEvaluator
Initializes the current instance.
SentenceDetectorEvaluatorTool - Class in opennlp.tools.cmdline.sentdetect
 
SentenceDetectorEvaluatorTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorEvaluatorTool
 
SentenceDetectorFactory - Class in opennlp.tools.sentdetect
The factory that provides SentenceDetecor default implementations and resources
SentenceDetectorFactory() - Constructor for class opennlp.tools.sentdetect.SentenceDetectorFactory
Creates a SentenceDetectorFactory that provides the default implementation of the resources.
SentenceDetectorFactory(String, boolean, Dictionary, char[]) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorFactory
SentenceDetectorME - Class in opennlp.tools.sentdetect
A sentence detector for splitting up raw text into sentences.
SentenceDetectorME(SentenceModel) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME
Initializes the current instance.
SentenceDetectorME(SentenceModel, Factory) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME
Deprecated.
Use a SentenceDetectorFactory to extend SentenceDetector functionality.
SentenceDetectorTool - Class in opennlp.tools.cmdline.sentdetect
A sentence detector which uses a maxent model to predict the sentences.
SentenceDetectorTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool
 
SentenceDetectorTrainer - Class in opennlp.uima.sentdetect
OpenNLP SentenceDetector trainer.
SentenceDetectorTrainer() - Constructor for class opennlp.uima.sentdetect.SentenceDetectorTrainer
 
SentenceDetectorTrainerTool - Class in opennlp.tools.cmdline.sentdetect
 
SentenceDetectorTrainerTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorTrainerTool
 
SentenceEvaluationErrorListener - Class in opennlp.tools.cmdline.sentdetect
A default implementation of EvaluationMonitor that prints to an output stream.
SentenceEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceEvaluationErrorListener
Creates a listener that will print to System.err
SentenceEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceEvaluationErrorListener
Creates a listener that will print to a given OutputStream
SentenceFeatureGenerator - Class in opennlp.tools.util.featuregen
This feature generator creates sentence begin and end features.
SentenceFeatureGenerator(boolean, boolean) - Constructor for class opennlp.tools.util.featuregen.SentenceFeatureGenerator
 
SentenceModel - Class in opennlp.tools.sentdetect
The SentenceModel is the model used by a learnable SentenceDetector.
SentenceModel(String, AbstractModel, Map<String, String>, SentenceDetectorFactory) - Constructor for class opennlp.tools.sentdetect.SentenceModel
 
SentenceModel(String, AbstractModel, boolean, Dictionary, char[], Map<String, String>) - Constructor for class opennlp.tools.sentdetect.SentenceModel
SentenceModel(String, AbstractModel, boolean, Dictionary, char[]) - Constructor for class opennlp.tools.sentdetect.SentenceModel
SentenceModel(String, AbstractModel, boolean, Dictionary, Map<String, String>) - Constructor for class opennlp.tools.sentdetect.SentenceModel
 
SentenceModel(String, AbstractModel, boolean, Dictionary) - Constructor for class opennlp.tools.sentdetect.SentenceModel
 
SentenceModel(InputStream) - Constructor for class opennlp.tools.sentdetect.SentenceModel
 
SentenceModel(File) - Constructor for class opennlp.tools.sentdetect.SentenceModel
 
SentenceModel(URL) - Constructor for class opennlp.tools.sentdetect.SentenceModel
 
SentenceModelResource - Interface in opennlp.uima.sentdetect
 
SentenceModelResourceImpl - Class in opennlp.uima.sentdetect
 
SentenceModelResourceImpl() - Constructor for class opennlp.uima.sentdetect.SentenceModelResourceImpl
 
SentenceParser() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser
 
SentenceSample - Class in opennlp.tools.sentdetect
A SentenceSample contains a document with begin indexes of the individual sentences.
SentenceSample(String, Span...) - Constructor for class opennlp.tools.sentdetect.SentenceSample
Initializes the current instance.
SentenceSample(Detokenizer, String[][]) - Constructor for class opennlp.tools.sentdetect.SentenceSample
 
SentenceSampleStream - Class in opennlp.tools.sentdetect
This class is a stream filter which reads a sentence by line samples from a Reader and converts them into SentenceSample objects.
SentenceSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.sentdetect.SentenceSampleStream
 
SentenceSampleStreamFactory - Class in opennlp.tools.formats
Factory producing OpenNLP SentenceSampleStreams.
SentenceSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.SentenceSampleStreamFactory
 
sentenceType - Variable in class opennlp.uima.sentdetect.AbstractSentenceDetector
 
sentenceType - Variable in class opennlp.uima.tokenize.AbstractTokenizer
Type of the sentence containing the tokens.
sentPosDetect(String) - Method in interface opennlp.tools.sentdetect.SentenceDetector
Sentence detect a string.
sentPosDetect(String) - Method in class opennlp.tools.sentdetect.SentenceDetectorME
Detect the position of the first words of sentences in a String.
Sequence<T> - Class in opennlp.model
Class which models a sequence.
Sequence(Event[], T) - Constructor for class opennlp.model.Sequence
Creates a new sequence made up of the specified events and derived from the specified source.
Sequence - Class in opennlp.tools.util
Represents a weighted sequence of outcomes.
Sequence() - Constructor for class opennlp.tools.util.Sequence
Creates a new sequence of outcomes.
Sequence(Sequence) - Constructor for class opennlp.tools.util.Sequence
 
Sequence(Sequence, String, double) - Constructor for class opennlp.tools.util.Sequence
 
Sequence(List<String>) - Constructor for class opennlp.tools.util.Sequence
 
SequenceStream - Interface in opennlp.model
Interface for streams of sequences used to train sequence models.
SequenceStreamEventStream - Class in opennlp.model
Class which turns a sequence stream into an event stream.
SequenceStreamEventStream(SequenceStream) - Constructor for class opennlp.model.SequenceStreamEventStream
 
SequenceValidator<T> - Interface in opennlp.tools.util
 
serialize(OutputStream) - Method in class opennlp.tools.dictionary.Dictionary
Writes the current instance to the given OutputStream.
serialize(OutputStream, Iterator<Entry>) - Static method in class opennlp.tools.dictionary.serializer.DictionarySerializer
serialize(OutputStream, Iterator<Entry>, boolean) - Static method in class opennlp.tools.dictionary.serializer.DictionarySerializer
Serializes the given entries to the given OutputStream.
serialize(OutputStream) - Method in class opennlp.tools.ngram.NGramModel
Writes the ngram instance to the given OutputStream.
serialize(Writer) - Method in class opennlp.tools.parser.lang.en.HeadRules
Writes the head rules to the writer in a format suitable for loading the head rules again with the constructor.
serialize(OutputStream) - Method in class opennlp.tools.postag.POSDictionary
Writes the POSDictionary to the given OutputStream; After the serialization is finished the provided OutputStream remains open.
serialize(OutputStream) - Method in class opennlp.tools.tokenize.DetokenizationDictionary
 
serialize(T, OutputStream) - Method in interface opennlp.tools.util.model.ArtifactSerializer
Serializes the artifact to the provided OutputStream.
serialize(OutputStream) - Method in class opennlp.tools.util.model.BaseModel
Serializes the model to the given OutputStream.
serialize(Class<?>, OutputStream) - Method in class opennlp.tools.util.model.ClassSerializer
Deprecated.
 
serialize(FeatureGeneratorFactory, OutputStream) - Method in class opennlp.tools.util.model.FeatureGeneratorFactorySerializer
Deprecated.
 
serialize(AbstractModel, OutputStream) - Method in class opennlp.tools.util.model.GenericModelSerializer
 
serialize(OutputStream) - Method in class opennlp.tools.util.TrainingParameters
 
serialize(OutputStream) - Method in class opennlp.uima.normalizer.StringDictionary
Writes the ngram instance to the given OutputStream.
serialize(BaseModel, File) - Static method in class opennlp.uima.util.OpennlpUtil
Serializes a GISModel and writes it to the given OutputStream.
setBestCategory(CAS, String) - Method in class opennlp.uima.doccat.DocumentCategorizer
 
setBestCategory(CAS, String) - Method in class opennlp.uima.doccat.LanguageDetector
 
setCategory(String) - Method in class opennlp.tools.coref.DiscourseEntity
Specifies the semantic category of this entity.
setChild(int, String) - Method in class opennlp.tools.parser.Parse
Replaces the child at the specified index with a new child with the specified label.
setCoordinatedNounPhraseCollection(boolean) - Method in class opennlp.tools.coref.mention.AbstractMentionFinder
 
setCoordinatedNounPhraseCollection(boolean) - Method in interface opennlp.tools.coref.mention.MentionFinder
Specifies whether coordinated noun phrases should be collected as mentions.
setCorrectionParam(double) - Method in class opennlp.model.EvalParameters
 
setCount(StringList, int) - Method in class opennlp.tools.ngram.NGramModel
Sets the count of an existing ngram.
setCount(E, int) - Method in class opennlp.tools.util.CountedSet
Assigns the specified object the specified count in the set.
setCurrentContext(String[][]) - Method in class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
 
setCurrPoint(double[]) - Method in class opennlp.maxent.quasinewton.LineSearchResult
 
setDerivation(StringBuffer) - Method in class opennlp.tools.parser.Parse
Specifies the derivation string to be associated with this parse.
setDictionary(Dictionary) - Method in class opennlp.tools.postag.POSTaggerFactory
 
setDictionary(Dictionary) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
 
setDictionary(String, Dictionary) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
 
setEnd(int) - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
 
setEntities(Mention[]) - Method in class opennlp.tools.coref.AbstractLinker
 
setEntities(Mention[]) - Method in interface opennlp.tools.coref.Linker
Indicated that the specified mentions can be used to train this linker.
setErrorReporting(boolean) - Method in class opennlp.tools.parser.AbstractBottomUpParser
Specifies whether the parser should report when it was unable to find a parse for a particular sentence.
setExtents(Context[]) - Method in class opennlp.tools.coref.sim.GenderModel
 
setExtents(Context[]) - Method in class opennlp.tools.coref.sim.NumberModel
 
setExtents(Context[]) - Method in class opennlp.tools.coref.sim.SimilarityModel
 
setExtents(Context[]) - Method in interface opennlp.tools.coref.sim.TrainSimilarityModel
Creates simialrity training pairs based on the specified extents.
setFctEvalCount(int) - Method in class opennlp.maxent.quasinewton.LineSearchResult
 
setFunctionalTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
 
setGender(GenderEnum) - Method in class opennlp.tools.coref.DiscourseEntity
Specifies the gender of this entity.
setGender(GenderEnum, double) - Method in class opennlp.tools.coref.mention.MentionContext
Assigns the specified gender with the specified probability to this mention.
setGenderProbability(double) - Method in class opennlp.tools.coref.DiscourseEntity
Specifies the probability of the gender of this entity.
setGradAtCurr(double[]) - Method in class opennlp.maxent.quasinewton.LineSearchResult
 
setGradAtNext(double[]) - Method in class opennlp.maxent.quasinewton.LineSearchResult
 
setId(int) - Method in class opennlp.tools.coref.DiscourseElement
Associates an id with this element.
setId(int) - Method in class opennlp.tools.coref.mention.Mention
Associates an id with this mention.
setLabel(String) - Method in class opennlp.tools.parser.Constituent
Assigns the label to the constituent.
setLabel(String) - Method in class opennlp.tools.parser.Parse
Assigns this parse the specified label.
setLabels(String[], String[]) - Method in interface opennlp.model.Prior
Method to specify the label for the outcomes and contexts.
setLabels(String[], String[]) - Method in class opennlp.model.UniformPrior
 
setLemma(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
 
setLevel(int) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
 
setLexeme(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
 
setManifestProperty(String, String) - Method in class opennlp.tools.util.model.BaseModel
Sets a given value for a given key to the manifest.properties entry.
setMetadata(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
 
setModel(MaxentModel) - Method in interface opennlp.maxent.ModelSetter
Assign a new MaxentModel value to a MaxentModel variable.
setModelForDomain(ModelDomain, MaxentModel) - Method in class opennlp.maxent.DomainToModelMap
Sets the model for the given domain.
setMorphologicalTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
 
setNameType(String) - Method in class opennlp.tools.coref.mention.Mention
Specifies the named-entity category associated with this mention.
setNextPoint(double[]) - Method in class opennlp.maxent.quasinewton.LineSearchResult
 
setNextPunctuation(Collection<Parse>) - Method in class opennlp.tools.parser.Parse
Sets the set of punctuation tags which follow this parse.
setNumber(NumberEnum) - Method in class opennlp.tools.coref.DiscourseEntity
Specifies the number of this entity.
setNumber(NumberEnum, double) - Method in class opennlp.tools.coref.mention.MentionContext
Assigns the specified number with the specified probability to this mention.
setNumberProbability(double) - Method in class opennlp.tools.coref.DiscourseEntity
Specifies the probability of the number of this entity.
setNumberSentencesBack(int) - Method in class opennlp.tools.coref.resolver.AbstractResolver
Specifies the number of sentences back this resolver should look for a referent.
setParameter(int, double) - Method in class opennlp.model.MutableContext
Assigns the parameter or expected value at the specified outcomeIndex the specified value.
setParent(Parse) - Method in class opennlp.tools.parser.Parse
Specifies the parent parse node for this constituent.
setParents(Parse) - Static method in class opennlp.tools.parser.AbstractBottomUpParser
Assigns parent references for the specified parse so that they are consistent with the children references.
setParse(Parse) - Method in class opennlp.tools.coref.mention.Mention
Specifies the parse for this mention.
setPrenominalNamedEntityCollection(boolean) - Method in class opennlp.tools.coref.mention.AbstractMentionFinder
 
setPrenominalNamedEntityCollection(boolean) - Method in interface opennlp.tools.coref.mention.MentionFinder
Specifies whether pre-nominal named-entities should be collected as mentions.
setPrevPunctuation(Collection<Parse>) - Method in class opennlp.tools.parser.Parse
Sets the set of punctuation tags which preceed this parse.
setRoot(ADSentenceStream.SentenceParser.Node) - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
 
setSecondaryTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
 
setSimilarityModel(TestSimilarityModel) - Static method in class opennlp.tools.coref.resolver.MaxentResolver
 
setSkippedAveraging(boolean) - Method in class opennlp.perceptron.PerceptronTrainer
Enables skipped averaging, this flag changes the standard averaging to special averaging instead.
setStart(int) - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
 
setStepSize(double) - Method in class opennlp.maxent.quasinewton.LineSearchResult
 
setStepSizeDecrease(double) - Method in class opennlp.perceptron.PerceptronTrainer
Enables and sets step size decrease.
setSyntacticTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
 
setTagDictionary(TagDictionary) - Method in class opennlp.tools.postag.POSTaggerFactory
 
setText(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
 
setTolerance(double) - Method in class opennlp.perceptron.PerceptronTrainer
Specifies the tolerance.
setType(String) - Method in class opennlp.tools.parser.Parse
Set the type of this constituent to the specified type.
setValue(String, String) - Method in class opennlp.tools.dictionary.serializer.Attributes
Sets a key/value pair.
setValueAtCurr(double) - Method in class opennlp.maxent.quasinewton.LineSearchResult
 
setValueAtNext(double) - Method in class opennlp.maxent.quasinewton.LineSearchResult
 
SgmlParser - Class in opennlp.tools.formats.muc
SAX style SGML parser.
SgmlParser() - Constructor for class opennlp.tools.formats.muc.SgmlParser
 
SgmlParser.ContentHandler - Class in opennlp.tools.formats.muc
 
ShallowParseCorefEnhancerStream - Class in opennlp.tools.formats.muc
 
ShallowParseCorefEnhancerStream(POSTagger, Chunker, ObjectStream<RawCorefSample>) - Constructor for class opennlp.tools.formats.muc.ShallowParseCorefEnhancerStream
 
ShallowParseMentionFinder - Class in opennlp.tools.coref.mention
Finds mentions from shallow np-chunking based parses.
show(StringBuffer) - Method in class opennlp.tools.parser.Parse
Appends the specified string buffer with a string representation of this parse.
show() - Method in class opennlp.tools.parser.Parse
Displays this parse using Penn Treebank-style formatting.
showCodeTree() - Method in class opennlp.tools.parser.Parse
Prints to standard out a representation of the specified parse which contains hash codes so that parent/child relationships can be explicitly seen.
showExclusions - Variable in class opennlp.tools.coref.resolver.AbstractResolver
Debugging variable which specifies whether error output is generated if a class excludes as possibly coreferent mentions which are in-fact coreferent.
SimilarityModel - Class in opennlp.tools.coref.sim
Models semantic similarity between two mentions and returns a score based on how semantically comparable the mentions are with one another.
SimplePerceptronSequenceTrainer - Class in opennlp.perceptron
Trains models for sequences using the perceptron algorithm.
SimplePerceptronSequenceTrainer() - Constructor for class opennlp.perceptron.SimplePerceptronSequenceTrainer
 
SimpleTokenizer - Class in opennlp.tools.tokenize
Performs tokenization using character classes.
SimpleTokenizer() - Constructor for class opennlp.tools.tokenize.SimpleTokenizer
Deprecated.
Use INSTANCE field instead to obtain an instance, constructor will be made private in the future.
SimpleTokenizer - Class in opennlp.uima.tokenize
OpenNLP Simple Tokenizer annotator.
SimpleTokenizer() - Constructor for class opennlp.uima.tokenize.SimpleTokenizer
Initializes the current instance.
SimpleTokenizerTool - Class in opennlp.tools.cmdline.tokenizer
 
SimpleTokenizerTool() - Constructor for class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
 
SingletonNonReferentialResolver - Class in opennlp.tools.coref.resolver
This class allows you to share a single instance of a non-referential resolver among several resolvers.
SINGULAR - Static variable in class opennlp.tools.coref.sim.NumberEnum
Singular number type.
SINGULAR_PRONOUN - Variable in class opennlp.tools.coref.AbstractLinker
The index of resolver which is used for singular pronouns.
singularPronounPattern - Static variable in class opennlp.tools.coref.resolver.ResolverUtils
Regular expression for English singular pronouns.
SingularPronounResolver - Class in opennlp.tools.coref.resolver
This class resolver singular pronouns such as "he", "she", "it" and their various forms.
SingularPronounResolver(String, ResolverMode) - Constructor for class opennlp.tools.coref.resolver.SingularPronounResolver
 
SingularPronounResolver(String, ResolverMode, NonReferentialResolver) - Constructor for class opennlp.tools.coref.resolver.SingularPronounResolver
 
singularThirdPersonPronounPattern - Static variable in class opennlp.tools.coref.resolver.ResolverUtils
Regular expression for English singular third person pronouns.
size() - Method in class opennlp.model.IndexHashTable
Retrieves the size.
size() - Method in class opennlp.tools.dictionary.Dictionary
Retrieves the number of tokens in the current instance.
size() - Method in class opennlp.tools.ngram.NGramModel
Retrieves the number of StringList entries in the current instance.
size - Variable in class opennlp.tools.postag.POSTaggerME
The size of the beam to be used in determining the best sequence of pos tags.
size - Variable in class opennlp.tools.util.BeamSearch
 
size() - Method in class opennlp.tools.util.Cache
 
size() - Method in class opennlp.tools.util.CountedSet
 
size() - Method in interface opennlp.tools.util.Heap
Returns the size of the heap.
size() - Method in class opennlp.tools.util.ListHeap
 
size() - Method in class opennlp.tools.util.StringList
Retrieves the number of tokens inside this list.
size() - Method in class opennlp.tools.util.TreeHeap
Deprecated.
 
SMOOTHING_OBSERVATION - Static variable in class opennlp.maxent.GIS
If we are using smoothing, this is used as the "number" of times we want the trainer to imagine that it saw a feature that it actually didn't see.
SMOOTHING_OBSERVATION - Static variable in class opennlp.maxent.ModelTrainer
 
sortAndMerge(List<ComparableEvent>, boolean) - Method in class opennlp.model.AbstractDataIndexer
Sorts and uniques the array of comparable events and return the number of unique events.
sortAndMerge(List<ComparableEvent>, boolean) - Method in class opennlp.model.OnePassRealValueDataIndexer
 
sortValues() - Method in class opennlp.maxent.io.GISModelWriter
 
sortValues() - Method in class opennlp.perceptron.PerceptronModelWriter
 
Span - Class in opennlp.tools.util
Class for storing start and end integer offsets.
Span(int, int, String) - Constructor for class opennlp.tools.util.Span
Initializes a new Span Object.
Span(int, int) - Constructor for class opennlp.tools.util.Span
Initializes a new Span Object.
Span(Span, int) - Constructor for class opennlp.tools.util.Span
Initializes a new Span object with an existing Span which is shifted by an offset.
spansToStrings(Span[], CharSequence) - Static method in class opennlp.tools.util.Span
Converts an array of Spans to an array of Strings.
spansToStrings(Span[], String[]) - Static method in class opennlp.tools.util.Span
 
speechPronounPattern - Static variable in class opennlp.tools.coref.resolver.ResolverUtils
Regular expression for English speech pronouns.
SpeechPronounResolver - Class in opennlp.tools.coref.resolver
Resolves pronouns specific to quoted speech such as "you", "me", and "I".
SpeechPronounResolver(String, ResolverMode) - Constructor for class opennlp.tools.coref.resolver.SpeechPronounResolver
 
SpeechPronounResolver(String, ResolverMode, NonReferentialResolver) - Constructor for class opennlp.tools.coref.resolver.SpeechPronounResolver
 
SPLIT - Static variable in class opennlp.tools.sentdetect.SentenceDetectorME
Constant indicates a sentence split.
SPLIT - Static variable in class opennlp.tools.tokenize.TokenizerME
Constant indicates a token split.
start() - Method in class opennlp.tools.cmdline.PerformanceMonitor
 
START - Static variable in class opennlp.tools.namefind.NameFinderME
 
START - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
Prefix for outcomes starting a constituent.
start(BundleContext) - Method in class opennlp.tools.util.ext.OSGiExtensionLoader
 
START_TAG - Static variable in class opennlp.tools.namefind.NameSampleDataStream
 
START_TAG_PREFIX - Static variable in class opennlp.tools.namefind.NameSampleDataStream
 
startAndPrintThroughput() - Method in class opennlp.tools.cmdline.PerformanceMonitor
 
startElement(String, Map<String, String>) - Method in class opennlp.tools.formats.muc.MucNameContentHandler
 
startElement(String, Map<String, String>) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler
 
startsWith(Span) - Method in class opennlp.tools.util.Span
Returns true if the specified span is the begin of this span and the specified span is contained in this span.
startUsingModel() - Method in class opennlp.maxent.ModelReplacementManager
Inform the manager that a thread is using the model.
stem(CharSequence) - Method in interface opennlp.tools.stemmer.Stemmer
 
Stemmer - Interface in opennlp.tools.stemmer
The stemmer is reducing a word to its stem.
stop(BundleContext) - Method in class opennlp.tools.util.ext.OSGiExtensionLoader
 
stopAndPrintFinalResult() - Method in class opennlp.tools.cmdline.PerformanceMonitor
 
StreamFactoryRegistry - Class in opennlp.tools.cmdline
Registry for object stream factories.
StringDictionary - Class in opennlp.uima.normalizer
 
StringDictionary() - Constructor for class opennlp.uima.normalizer.StringDictionary
 
StringDictionary(InputStream) - Constructor for class opennlp.uima.normalizer.StringDictionary
Initializes the current instance.
StringList - Class in opennlp.tools.util
The StringList is an immutable list of Strings.
StringList(String) - Constructor for class opennlp.tools.util.StringList
Initializes the current instance.
StringList(String...) - Constructor for class opennlp.tools.util.StringList
Initializes the current instance.
StringPattern - Class in opennlp.tools.util.featuregen
Recognizes predefined patterns in strings.
StringUtil - Class in opennlp.tools.util
 
StringUtil() - Constructor for class opennlp.tools.util.StringUtil
 
stringValue - Variable in class opennlp.maxent.DoubleStringPair
 
stripNp(MentionContext) - Static method in class opennlp.tools.coref.resolver.ResolverUtils
Returns a string for the specified mention with punctuation, honorifics, designators, and determiners removed.
subtract(E) - Method in class opennlp.tools.util.CountedSet
Reduces the count associated with this object by 1.
suffixAppropriateReader - Variable in class opennlp.maxent.io.SuffixSensitiveGISModelReader
 
SuffixFeatureGenerator - Class in opennlp.tools.util.featuregen
 
SuffixFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.SuffixFeatureGenerator
 
SuffixSensitiveGISModelReader - Class in opennlp.maxent.io
A reader for GIS models which inspects the filename and invokes the appropriate GISModelReader depending on the filename's suffixes.
SuffixSensitiveGISModelReader(File) - Constructor for class opennlp.maxent.io.SuffixSensitiveGISModelReader
Constructor which takes a File and invokes the GISModelReader appropriate for the suffix.
SuffixSensitiveGISModelWriter - Class in opennlp.maxent.io
A writer for GIS models which inspects the filename and invokes the appropriate GISModelWriter depending on the filename's suffixes.
SuffixSensitiveGISModelWriter(AbstractModel, File) - Constructor for class opennlp.maxent.io.SuffixSensitiveGISModelWriter
Constructor which takes a GISModel and a File and invokes the GISModelWriter appropriate for the suffix.
SuffixSensitivePerceptronModelWriter - Class in opennlp.perceptron
A writer for GIS models which inspects the filename and invokes the appropriate GISModelWriter depending on the filename's suffixes.
SuffixSensitivePerceptronModelWriter(AbstractModel, File) - Constructor for class opennlp.perceptron.SuffixSensitivePerceptronModelWriter
Constructor which takes a GISModel and a File and invokes the GISModelWriter appropriate for the suffix.
surround(Parse, int, String, Collection<Parse>, List<String>) - Method in class opennlp.tools.parser.AbstractContextGenerator
Generates features for nodes surrounding a completed node of the specified type.
synsets - Variable in class opennlp.tools.coref.sim.Context
 

T

tag(List<String>) - Method in interface opennlp.tools.postag.POSTagger
Deprecated.
call tag(String[]) instead
tag(String[]) - Method in interface opennlp.tools.postag.POSTagger
Assigns the sentence of tokens pos tags.
tag(String[], Object[]) - Method in interface opennlp.tools.postag.POSTagger
 
tag(String) - Method in interface opennlp.tools.postag.POSTagger
Deprecated.
call tag(String[]) instead use WhiteSpaceTokenizer.INSTANCE.tokenize to obtain the String array.
tag(List<String>) - Method in class opennlp.tools.postag.POSTaggerME
Deprecated.
tag(String[]) - Method in class opennlp.tools.postag.POSTaggerME
 
tag(String[], Object[]) - Method in class opennlp.tools.postag.POSTaggerME
 
tag(int, String[]) - Method in class opennlp.tools.postag.POSTaggerME
Returns at most the specified number of taggings for the specified sentence.
tag(String) - Method in class opennlp.tools.postag.POSTaggerME
Deprecated.
TAG_DICTIONARY_NAME - Static variable in class opennlp.uima.postag.POSTaggerTrainer
 
tagDictionary - Variable in class opennlp.tools.postag.POSTaggerME
Tag dictionary used for restricting words to a fixed set of tags.
TagDictionary - Interface in opennlp.tools.postag
Interface to determine which tags are valid for a particular word based on a tag dictionary.
tagger - Variable in class opennlp.tools.parser.AbstractBottomUpParser
The pos-tagger that the parser uses.
TaggerModelReplacerTool - Class in opennlp.tools.cmdline.parser
 
TaggerModelReplacerTool() - Constructor for class opennlp.tools.cmdline.parser.TaggerModelReplacerTool
 
TerminateToolException - Exception in opennlp.tools.cmdline
Exception to terminate the execution of a command line tool.
TerminateToolException(int, String, Throwable) - Constructor for exception opennlp.tools.cmdline.TerminateToolException
 
TerminateToolException(int, String) - Constructor for exception opennlp.tools.cmdline.TerminateToolException
 
TerminateToolException(int) - Constructor for exception opennlp.tools.cmdline.TerminateToolException
 
test(AbstractModel) - Static method in class opennlp.tools.postag.POSTaggerTrainer
Deprecated.
TestGenderModel - Interface in opennlp.tools.coref.sim
Interface for testing a gender model.
testModel(String) - Static method in class opennlp.tools.coref.sim.GenderModel
 
testModel(String) - Static method in class opennlp.tools.coref.sim.NumberModel
 
testModel(String) - Static method in class opennlp.tools.coref.sim.SimilarityModel
 
TestNumberModel - Interface in opennlp.tools.coref.sim
Interface for testing a number model.
TestSimilarityModel - Interface in opennlp.tools.coref.sim
Interface for testing a similarity model.
thEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory
 
thirdPersonPronounPattern - Static variable in class opennlp.tools.coref.resolver.ResolverUtils
Regular expression for English third person pronouns.
toArray(T[]) - Method in class opennlp.model.IndexHashTable
 
toArray() - Method in class opennlp.tools.util.CountedSet
 
toArray(T[]) - Method in class opennlp.tools.util.CountedSet
 
toContraction(String, String) - Static method in class opennlp.tools.formats.ad.PortugueseContractionUtility
Merges a contraction
toDictionary() - Method in class opennlp.tools.ngram.NGramModel
Creates a dictionary which contain all StringList which are in the current NGramModel.
toDictionary(boolean) - Method in class opennlp.tools.ngram.NGramModel
Creates a dictionary which contains all StringLists which are in the current NGramModel.
toIndexedStringArray(Map<String, Integer>) - Static method in class opennlp.model.AbstractDataIndexer
Utility method for creating a String[] array from a map whose keys are labels (Strings) to be stored in the array and whose values are the indices (Integers) at which the corresponding labels should be inserted.
TOK_NODE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
The label for a token node.
TOKEN_CLASS_FEATURE_NEXT_WINDOW_SIZE_PARAMETER - Static variable in class opennlp.uima.namefind.NameFinder
 
TOKEN_CLASS_FEATURE_PARAMETER - Static variable in class opennlp.uima.namefind.NameFinder
 
TOKEN_CLASS_FEATURE_PREV_WINDOW_SIZE_PARAMETER - Static variable in class opennlp.uima.namefind.NameFinder
 
TOKEN_FEATURE_NEXT_WINDOW_SIZE_PARAMETER - Static variable in class opennlp.uima.namefind.NameFinder
 
TOKEN_FEATURE_PARAMETER - Static variable in class opennlp.uima.namefind.NameFinder
 
TOKEN_FEATURE_PREV_WINDOW_SIZE_PARAMETER - Static variable in class opennlp.uima.namefind.NameFinder
 
TOKEN_PATTERN_OPTIMIZATION - Static variable in class opennlp.uima.namefind.NameFinder
 
TOKEN_TYPE_PARAMETER - Static variable in class opennlp.uima.util.UimaUtil
The token type parameter.
TokenChunker - Class in opennlp.tools.lang.spanish
Class which identifies multi-token chunk which are treated as a single token in for POS-tagging.
TokenChunker(String) - Constructor for class opennlp.tools.lang.spanish.TokenChunker
 
TokenClassFeatureGenerator - Class in opennlp.tools.util.featuregen
Generates features for different for the class of the token.
TokenClassFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TokenClassFeatureGenerator
 
TokenClassFeatureGenerator(boolean) - Constructor for class opennlp.tools.util.featuregen.TokenClassFeatureGenerator
 
TokenContextGenerator - Interface in opennlp.tools.tokenize
Interface for TokenizerME context generators.
TokenEvaluationErrorListener - Class in opennlp.tools.cmdline.tokenizer
A default implementation of EvaluationMonitor that prints to an output stream.
TokenEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenEvaluationErrorListener
Creates a listener that will print to System.err
TokenEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.tokenizer.TokenEvaluationErrorListener
Creates a listener that will print to a given OutputStream
tokenFeature(String) - Static method in class opennlp.tools.util.featuregen.FastTokenClassFeatureGenerator
Deprecated.
 
tokenFeature(String) - Static method in class opennlp.tools.util.featuregen.FeatureGeneratorUtil
Generates a class name for the specified token.
TokenFeatureGenerator - Class in opennlp.tools.util.featuregen
Generates a feature which contains the token itself.
TokenFeatureGenerator(boolean) - Constructor for class opennlp.tools.util.featuregen.TokenFeatureGenerator
 
TokenFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TokenFeatureGenerator
 
tokenize(String) - Method in interface opennlp.tools.tokenize.Tokenizer
Splits a string into its atomic parts
tokenize(CAS, AnnotationFS) - Method in class opennlp.uima.tokenize.AbstractTokenizer
 
tokenize(CAS, AnnotationFS) - Method in class opennlp.uima.tokenize.SimpleTokenizer
 
tokenize(CAS, AnnotationFS) - Method in class opennlp.uima.tokenize.Tokenizer
 
tokenize(CAS, AnnotationFS) - Method in class opennlp.uima.tokenize.WhitespaceTokenizer
 
tokenizePos(String) - Method in class opennlp.tools.tokenize.SimpleTokenizer
 
tokenizePos(String) - Method in interface opennlp.tools.tokenize.Tokenizer
Finds the boundaries of atomic parts in a string.
tokenizePos(String) - Method in class opennlp.tools.tokenize.TokenizerME
Tokenizes the string.
tokenizePos(String) - Method in class opennlp.tools.tokenize.WhitespaceTokenizer
 
Tokenizer - Interface in opennlp.tools.tokenize
The interface for tokenizers, which segment a string into its tokens.
Tokenizer - Class in opennlp.uima.tokenize
OpenNLP Tokenizer annotator.
Tokenizer() - Constructor for class opennlp.uima.tokenize.Tokenizer
Initializes a new instance.
TokenizerConverterTool - Class in opennlp.tools.cmdline.tokenizer
 
TokenizerConverterTool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerConverterTool
 
TokenizerCrossValidator - Class in opennlp.tools.tokenize
 
TokenizerCrossValidator(TrainingParameters, TokenizerFactory, TokenizerEvaluationMonitor...) - Constructor for class opennlp.tools.tokenize.TokenizerCrossValidator
 
TokenizerCrossValidator(String, Dictionary, boolean, TrainingParameters, TokenizerEvaluationMonitor...) - Constructor for class opennlp.tools.tokenize.TokenizerCrossValidator
TokenizerCrossValidator(String, boolean, int, int) - Constructor for class opennlp.tools.tokenize.TokenizerCrossValidator
TokenizerCrossValidator(String, boolean) - Constructor for class opennlp.tools.tokenize.TokenizerCrossValidator
TokenizerCrossValidator(String, boolean, TrainingParameters, TokenizerEvaluationMonitor...) - Constructor for class opennlp.tools.tokenize.TokenizerCrossValidator
TokenizerCrossValidatorTool - Class in opennlp.tools.cmdline.tokenizer
 
TokenizerCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerCrossValidatorTool
 
TokenizerEvaluationMonitor - Interface in opennlp.tools.tokenize
 
TokenizerEvaluator - Class in opennlp.tools.tokenize
The TokenizerEvaluator measures the performance of the given Tokenizer with the provided reference TokenSamples.
TokenizerEvaluator(Tokenizer, TokenizerEvaluationMonitor...) - Constructor for class opennlp.tools.tokenize.TokenizerEvaluator
Initializes the current instance with the given Tokenizer.
TokenizerFactory - Class in opennlp.tools.tokenize
The factory that provides Tokenizer default implementations and resources.
TokenizerFactory() - Constructor for class opennlp.tools.tokenize.TokenizerFactory
Creates a TokenizerFactory that provides the default implementation of the resources.
TokenizerFactory(String, Dictionary, boolean, Pattern) - Constructor for class opennlp.tools.tokenize.TokenizerFactory
Creates a TokenizerFactory.
TokenizerME - Class in opennlp.tools.tokenize
A Tokenizer for converting raw text into separated tokens.
TokenizerME(TokenizerModel) - Constructor for class opennlp.tools.tokenize.TokenizerME
 
TokenizerME(TokenizerModel, Factory) - Constructor for class opennlp.tools.tokenize.TokenizerME
Deprecated.
use TokenizerFactory to extend the Tokenizer functionality
TokenizerMEEvaluatorTool - Class in opennlp.tools.cmdline.tokenizer
 
TokenizerMEEvaluatorTool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerMEEvaluatorTool
 
TokenizerMETool - Class in opennlp.tools.cmdline.tokenizer
 
TokenizerMETool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerMETool
 
TokenizerModel - Class in opennlp.tools.tokenize
The TokenizerModel is the model used by a learnable Tokenizer.
TokenizerModel(AbstractModel, Map<String, String>, TokenizerFactory) - Constructor for class opennlp.tools.tokenize.TokenizerModel
Initializes the current instance.
TokenizerModel(String, AbstractModel, Dictionary, boolean, Map<String, String>) - Constructor for class opennlp.tools.tokenize.TokenizerModel
Deprecated.
Use TokenizerModel#TokenizerModel(String, AbstractModel, Map, TokenizerFactory) instead and pass in a TokenizerFactory.
TokenizerModel(String, AbstractModel, boolean, Map<String, String>) - Constructor for class opennlp.tools.tokenize.TokenizerModel
Deprecated.
Use TokenizerModel#TokenizerModel(String, AbstractModel, Map, TokenizerFactory) instead and pass in a TokenizerFactory.
TokenizerModel(String, AbstractModel, boolean) - Constructor for class opennlp.tools.tokenize.TokenizerModel
Deprecated.
Use TokenizerModel#TokenizerModel(String, AbstractModel, Map, TokenizerFactory) instead and pass in a TokenizerFactory.
TokenizerModel(InputStream) - Constructor for class opennlp.tools.tokenize.TokenizerModel
Initializes the current instance.
TokenizerModel(File) - Constructor for class opennlp.tools.tokenize.TokenizerModel
 
TokenizerModel(URL) - Constructor for class opennlp.tools.tokenize.TokenizerModel
 
TokenizerModelLoader - Class in opennlp.tools.cmdline.tokenizer
Loads a Tokenizer Model for the command line tools.
TokenizerModelLoader() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerModelLoader
 
TokenizerModelResource - Interface in opennlp.uima.tokenize
A TokenizerModel which can be shared between AnalysisEngines and loaded via the UIMA resource model.
TokenizerModelResourceImpl - Class in opennlp.uima.tokenize
 
TokenizerModelResourceImpl() - Constructor for class opennlp.uima.tokenize.TokenizerModelResourceImpl
 
TokenizerStream - Class in opennlp.tools.tokenize
The TokenizerStream uses a tokenizer to tokenize the input string and output TokenSamples.
TokenizerStream(Tokenizer, ObjectStream<String>) - Constructor for class opennlp.tools.tokenize.TokenizerStream
 
TokenizerTrainer - Class in opennlp.uima.tokenize
OpenNLP Tokenizer trainer.
TokenizerTrainer() - Constructor for class opennlp.uima.tokenize.TokenizerTrainer
 
TokenizerTrainerTool - Class in opennlp.tools.cmdline.tokenizer
 
TokenizerTrainerTool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerTrainerTool
 
TokenNameFinder - Interface in opennlp.tools.namefind
The interface for name finders which provide name tags for a sequence of tokens.
TokenNameFinderConverterTool - Class in opennlp.tools.cmdline.namefind
Tool to convert multiple data formats into native OpenNLP name finder training format.
TokenNameFinderConverterTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderConverterTool
 
TokenNameFinderCrossValidator - Class in opennlp.tools.namefind
 
TokenNameFinderCrossValidator(String, int, int) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator
TokenNameFinderCrossValidator(String, String, int, int) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator
TokenNameFinderCrossValidator(String, String, byte[], Map<String, Object>, int, int) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator
TokenNameFinderCrossValidator(String, String, TrainingParameters, byte[], Map<String, Object>, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator
Name finder cross validator
TokenNameFinderCrossValidatorTool - Class in opennlp.tools.cmdline.namefind
 
TokenNameFinderCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderCrossValidatorTool
 
TokenNameFinderDetailedFMeasureListener - Class in opennlp.tools.cmdline.namefind
 
TokenNameFinderDetailedFMeasureListener() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderDetailedFMeasureListener
 
TokenNameFinderEvaluationMonitor - Interface in opennlp.tools.namefind
 
TokenNameFinderEvaluator - Class in opennlp.tools.namefind
The TokenNameFinderEvaluator measures the performance of the given TokenNameFinder with the provided reference NameSamples.
TokenNameFinderEvaluator(TokenNameFinder, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderEvaluator
Initializes the current instance with the given TokenNameFinder.
TokenNameFinderEvaluatorTool - Class in opennlp.tools.cmdline.namefind
 
TokenNameFinderEvaluatorTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool
 
TokenNameFinderModel - Class in opennlp.tools.namefind
The TokenNameFinderModel is the model used by a learnable TokenNameFinder.
TokenNameFinderModel(String, AbstractModel, byte[], Map<String, Object>, Map<String, String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
 
TokenNameFinderModel(String, AbstractModel, Map<String, Object>, Map<String, String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
 
TokenNameFinderModel(InputStream) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
 
TokenNameFinderModel(File) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
 
TokenNameFinderModel(URL) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
 
TokenNameFinderModel.FeatureGeneratorCreationError - Exception in opennlp.tools.namefind
 
TokenNameFinderModelLoader - Class in opennlp.tools.cmdline.namefind
Loads a Token Name Finder Model for the command line tools.
TokenNameFinderModelLoader() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderModelLoader
 
TokenNameFinderModelResource - Interface in opennlp.uima.namefind
 
TokenNameFinderModelResourceImpl - Class in opennlp.uima.namefind
 
TokenNameFinderModelResourceImpl() - Constructor for class opennlp.uima.namefind.TokenNameFinderModelResourceImpl
 
TokenNameFinderTool - Class in opennlp.tools.cmdline.namefind
 
TokenNameFinderTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderTool
 
TokenNameFinderTrainerTool - Class in opennlp.tools.cmdline.namefind
 
TokenNameFinderTrainerTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
 
TokenPatternFeatureGenerator - Class in opennlp.tools.util.featuregen
Partitions tokens into sub-tokens based on character classes and generates class features for each of the sub-tokens and combinations of those sub-tokens.
TokenPatternFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TokenPatternFeatureGenerator
Initializes a new instance.
TokenPatternFeatureGenerator(Tokenizer) - Constructor for class opennlp.tools.util.featuregen.TokenPatternFeatureGenerator
Initializes a new instance.
tokens - Variable in class opennlp.tools.coref.sim.Context
 
TokenSample - Class in opennlp.tools.tokenize
A TokenSample is text with token spans.
TokenSample(String, Span[]) - Constructor for class opennlp.tools.tokenize.TokenSample
Initializes the current instance.
TokenSample(Detokenizer, String[]) - Constructor for class opennlp.tools.tokenize.TokenSample
 
TokenSampleStream - Class in opennlp.tools.tokenize.lang.en
Class which produces an Iterator from a file of space delimited token.
TokenSampleStream(InputStream) - Constructor for class opennlp.tools.tokenize.lang.en.TokenSampleStream
 
TokenSampleStream - Class in opennlp.tools.tokenize
This class is a stream filter which reads in string encoded samples and creates TokenSamples out of them.
TokenSampleStream(ObjectStream<String>, String) - Constructor for class opennlp.tools.tokenize.TokenSampleStream
 
TokenSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.tokenize.TokenSampleStream
 
TokenSampleStreamFactory - Class in opennlp.tools.formats
Factory producing OpenNLP TokenSampleStreams.
TokenSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.TokenSampleStreamFactory
 
tokenType - Variable in class opennlp.uima.tokenize.AbstractTokenizer
Type of the tokens to be created.
TokSpanEventStream - Class in opennlp.tools.tokenize
This class reads the TokenSamples from the given Iterator and converts the TokenSamples into Events which can be used by the maxent library for training.
TokSpanEventStream(ObjectStream<TokenSample>, boolean, Pattern, TokenContextGenerator) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream
Initializes the current instance.
TokSpanEventStream(ObjectStream<TokenSample>, boolean, TokenContextGenerator) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream
Initializes the current instance.
TokSpanEventStream(ObjectStream<TokenSample>, boolean) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream
Initializes the current instance.
TOLERANCE_DEFAULT - Static variable in class opennlp.perceptron.PerceptronTrainer
 
toLine(Event) - Static method in class opennlp.model.FileEventStream
Generates a string representing the specified event.
toLowerCase(CharSequence) - Static method in class opennlp.tools.util.StringUtil
Converts to lower case independent of the current locale via Character.toLowerCase(char) which uses mapping information from the UnicodeData file.
toolFactory - Variable in class opennlp.tools.util.model.BaseModel
 
TOP_NODE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
The label for the top node.
topKSequences(List<String>, List<String>) - Method in interface opennlp.tools.chunker.Chunker
Deprecated.
topKSequences(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker
Returns the top k chunk sequences for the specified sentence with the specified pos-tags
topKSequences(String[], String[], double) - Method in interface opennlp.tools.chunker.Chunker
Returns the top k chunk sequences for the specified sentence with the specified pos-tags
topKSequences(List<String>, List<String>) - Method in class opennlp.tools.chunker.ChunkerME
Deprecated.
topKSequences(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME
 
topKSequences(String[], String[], double) - Method in class opennlp.tools.chunker.ChunkerME
 
topKSequences(List<String>) - Method in interface opennlp.tools.postag.POSTagger
Deprecated.
call topKSequences(String[]) instead
topKSequences(String[]) - Method in interface opennlp.tools.postag.POSTagger
 
topKSequences(String[], Object[]) - Method in interface opennlp.tools.postag.POSTagger
 
topKSequences(List<String>) - Method in class opennlp.tools.postag.POSTaggerME
Deprecated.
topKSequences(String[]) - Method in class opennlp.tools.postag.POSTaggerME
 
topKSequences(String[], Object[]) - Method in class opennlp.tools.postag.POSTaggerME
 
toSentence(T) - Method in class opennlp.tools.formats.convert.AbstractToSentenceSampleStream
 
toSentence(NameSample) - Method in class opennlp.tools.formats.convert.NameToSentenceSampleStream
 
toSentence(POSSample) - Method in class opennlp.tools.formats.convert.POSToSentenceSampleStream
 
toString() - Method in class opennlp.model.ComparableEvent
 
toString() - Method in class opennlp.model.ComparablePredicate
 
toString() - Method in class opennlp.model.Event
 
toString() - Method in class opennlp.tools.chunker.ChunkSample
 
toString() - Method in class opennlp.tools.cmdline.DetailedFMeasureListener
 
toString() - Method in class opennlp.tools.coref.CorefSample
 
toString() - Method in class opennlp.tools.coref.DiscourseElement
 
toString() - Method in class opennlp.tools.coref.mention.DefaultParse
 
toString() - Method in class opennlp.tools.coref.mention.Mention
 
toString() - Method in interface opennlp.tools.coref.mention.Parse
 
toString() - Method in class opennlp.tools.coref.sim.Context
 
toString() - Method in class opennlp.tools.coref.sim.GenderEnum
 
toString() - Method in class opennlp.tools.coref.sim.NumberEnum
 
toString() - Method in class opennlp.tools.coref.sim.SemanticEnum
 
toString() - Method in class opennlp.tools.dictionary.Dictionary
 
toString() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator
Represents this objects as human readable String.
toString() - Method in class opennlp.tools.doccat.DocumentSample
 
toString() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
 
toString() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
 
toString() - Method in class opennlp.tools.namefind.NameSample
 
toString() - Method in class opennlp.tools.ngram.NGramModel
 
toString() - Method in class opennlp.tools.parser.Parse
Represents this parse in a human readable way.
toString() - Method in class opennlp.tools.postag.POSDictionary
 
toString() - Method in class opennlp.tools.postag.POSEvaluator
Represents this objects as human readable String.
toString() - Method in class opennlp.tools.postag.POSSample
 
toString() - Method in class opennlp.tools.sentdetect.SentenceSample
 
toString() - Method in class opennlp.tools.tokenize.TokenSample
 
toString() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner
 
toString() - Method in class opennlp.tools.util.eval.FMeasure
Creates a human read-able String representation.
toString() - Method in class opennlp.tools.util.eval.Mean
 
toString() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
 
toString() - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
 
toString() - Method in class opennlp.tools.util.Sequence
 
toString() - Method in class opennlp.tools.util.Span
Generates a human readable string.
toString() - Method in class opennlp.tools.util.StringList
 
toString() - Method in class opennlp.tools.util.Version
Retrieves the version string.
toText() - Method in class opennlp.tools.coref.mention.MentionContext
Returns the text of this mention.
toUpperCase(CharSequence) - Static method in class opennlp.tools.util.StringUtil
Converts to upper case independent of the current locale via Character.toUpperCase(char) which uses mapping information from the UnicodeData file.
train(EventStream, int) - Static method in class opennlp.maxent.TrainEval
 
train(EventStream, Map<String, String>, Map<String, String>) - Static method in class opennlp.model.TrainUtil
 
train(SequenceStream, Map<String, String>, Map<String, String>) - Static method in class opennlp.model.TrainUtil
 
train(String, ObjectStream<ChunkSample>, TrainingParameters, ChunkerFactory) - Static method in class opennlp.tools.chunker.ChunkerME
 
train(String, ObjectStream<ChunkSample>, ChunkerContextGenerator, TrainingParameters) - Static method in class opennlp.tools.chunker.ChunkerME
Deprecated.
Use #train(String, ObjectStream, ChunkerContextGenerator, TrainingParameters, ChunkerFactory) instead.
train(String, ObjectStream<ChunkSample>, int, int, ChunkerContextGenerator) - Static method in class opennlp.tools.chunker.ChunkerME
Deprecated.
train(String, ObjectStream<ChunkSample>, int, int) - Static method in class opennlp.tools.chunker.ChunkerME
Deprecated.
train() - Method in class opennlp.tools.coref.AbstractLinker
 
train(String, ObjectStream<CorefSample>, boolean, boolean) - Static method in class opennlp.tools.coref.CorefTrainer
 
train() - Method in interface opennlp.tools.coref.Linker
Trains the linker based on the data specified via calls to setEntities.
train() - Method in class opennlp.tools.coref.resolver.AbstractResolver
 
train() - Method in class opennlp.tools.coref.resolver.DefaultNonReferentialResolver
 
train() - Method in class opennlp.tools.coref.resolver.FixedNonReferentialResolver
 
train() - Method in class opennlp.tools.coref.resolver.MaxentResolver
 
train() - Method in interface opennlp.tools.coref.resolver.NonReferentialResolver
Trains a model based on the events given to this resolver via #addEvent.
train() - Method in interface opennlp.tools.coref.resolver.Resolver
Retrains model on examples for which retain was called.
train() - Method in class opennlp.tools.coref.resolver.SingletonNonReferentialResolver
 
train(DocumentCategorizerEventStream) - Static method in class opennlp.tools.doccat.DocumentCategorizerME
Deprecated.
train(String, ObjectStream<DocumentSample>, TrainingParameters, FeatureGenerator...) - Static method in class opennlp.tools.doccat.DocumentCategorizerME
 
train(String, ObjectStream<DocumentSample>, int, int, FeatureGenerator...) - Static method in class opennlp.tools.doccat.DocumentCategorizerME
Trains a document categorizer model with custom feature generation.
train(String, ObjectStream<DocumentSample>, int, int) - Static method in class opennlp.tools.doccat.DocumentCategorizerME
Trains a doccat model with default feature generation.
train(String, ObjectStream<DocumentSample>) - Static method in class opennlp.tools.doccat.DocumentCategorizerME
Trains a doccat model with default feature generation.
train(String, String, ObjectStream<NameSample>, TrainingParameters, AdaptiveFeatureGenerator, Map<String, Object>) - Static method in class opennlp.tools.namefind.NameFinderME
Trains a name finder model.
train(String, String, ObjectStream<NameSample>, TrainingParameters, byte[], Map<String, Object>) - Static method in class opennlp.tools.namefind.NameFinderME
Trains a name finder model.
train(String, String, ObjectStream<NameSample>, AdaptiveFeatureGenerator, Map<String, Object>, int, int) - Static method in class opennlp.tools.namefind.NameFinderME
Trains a name finder model.
train(String, String, ObjectStream<NameSample>, Map<String, Object>, int, int) - Static method in class opennlp.tools.namefind.NameFinderME
Deprecated.
train(String, String, ObjectStream<NameSample>, Map<String, Object>) - Static method in class opennlp.tools.namefind.NameFinderME
 
train(String, String, ObjectStream<NameSample>, byte[], Map<String, Object>, int, int) - Static method in class opennlp.tools.namefind.NameFinderME
Deprecated.
train(EventStream, int, int) - Static method in class opennlp.tools.namefind.NameFinderME
Deprecated.
train(EventStream, int, int) - Static method in class opennlp.tools.parser.chunking.Parser
Deprecated.
Please do not use anymore, use the ObjectStream train methods instead! This method will be removed soon.
train(String, ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.chunking.Parser
 
train(String, ObjectStream<Parse>, HeadRules, int, int) - Static method in class opennlp.tools.parser.chunking.Parser
Deprecated.
use Parser.train(String, ObjectStream, HeadRules, TrainingParameters) instead and pass in a TrainingParameters object.
train(String, ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.treeinsert.Parser
 
train(String, ObjectStream<Parse>, HeadRules, int, int) - Static method in class opennlp.tools.parser.treeinsert.Parser
 
train(EventStream, int, int) - Static method in class opennlp.tools.parser.treeinsert.Parser
Deprecated.
train(String, ObjectStream<POSSample>, TrainingParameters, POSTaggerFactory) - Static method in class opennlp.tools.postag.POSTaggerME
 
train(String, ObjectStream<POSSample>, TrainingParameters, POSDictionary, Dictionary) - Static method in class opennlp.tools.postag.POSTaggerME
train(String, ObjectStream<POSSample>, ModelType, POSDictionary, Dictionary, int, int) - Static method in class opennlp.tools.postag.POSTaggerME
train(String, ObjectStream<POSSample>, POSDictionary, Dictionary, int, int) - Static method in class opennlp.tools.postag.POSTaggerTrainer
Deprecated.
 
train(String, ObjectStream<SentenceSample>, boolean, Dictionary, TrainingParameters) - Static method in class opennlp.tools.sentdetect.SentenceDetectorME
train(String, ObjectStream<SentenceSample>, SentenceDetectorFactory, TrainingParameters) - Static method in class opennlp.tools.sentdetect.SentenceDetectorME
 
train(String, ObjectStream<SentenceSample>, boolean, Dictionary, int, int) - Static method in class opennlp.tools.sentdetect.SentenceDetectorME
train(String, ObjectStream<SentenceSample>, boolean, Dictionary) - Static method in class opennlp.tools.sentdetect.SentenceDetectorME
train(ObjectStream<TokenSample>, TokenizerFactory, TrainingParameters) - Static method in class opennlp.tools.tokenize.TokenizerME
Trains a model for the TokenizerME.
train(String, ObjectStream<TokenSample>, boolean, TrainingParameters) - Static method in class opennlp.tools.tokenize.TokenizerME
Deprecated.
Use #train(String, ObjectStream, TokenizerFactory, TrainingParameters) and pass in a TokenizerFactory
train(String, ObjectStream<TokenSample>, Dictionary, boolean, TrainingParameters) - Static method in class opennlp.tools.tokenize.TokenizerME
Deprecated.
Use #train(String, ObjectStream, TokenizerFactory, TrainingParameters) and pass in a TokenizerFactory
train(String, ObjectStream<TokenSample>, boolean, int, int) - Static method in class opennlp.tools.tokenize.TokenizerME
Deprecated.
Use #train(String, ObjectStream, TokenizerFactory, TrainingParameters) and pass in a TokenizerFactory
train(String, ObjectStream<TokenSample>, boolean) - Static method in class opennlp.tools.tokenize.TokenizerME
Deprecated.
Use #train(String, ObjectStream, TokenizerFactory, TrainingParameters) and pass in a TokenizerFactory
trainAndUpdate(ParserModel, ObjectStream<Parse>, ModelUpdaterTool.ModelUpdaterParams) - Method in class opennlp.tools.cmdline.parser.BuildModelUpdaterTool
 
trainAndUpdate(ParserModel, ObjectStream<Parse>, ModelUpdaterTool.ModelUpdaterParams) - Method in class opennlp.tools.cmdline.parser.CheckModelUpdaterTool
 
TrainEval - Class in opennlp.maxent
Trains or evaluates maxent components which have implemented the Evalable interface.
TrainEval() - Constructor for class opennlp.maxent.TrainEval
 
TRAINING_CUTOFF_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel
 
TRAINING_EVENTHASH_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel
 
TRAINING_ITERATIONS_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel
 
TRAINING_PARAMS_FILE_PARAMETER - Static variable in class opennlp.uima.util.UimaUtil
 
TrainingParameters - Class in opennlp.tools.util
 
TrainingParameters() - Constructor for class opennlp.tools.util.TrainingParameters
 
TrainingParameters(InputStream) - Constructor for class opennlp.tools.util.TrainingParameters
 
TrainingToolParams - Interface in opennlp.tools.cmdline.params
Common training parameters.
trainMaxentModel(EventStream, File) - Static method in class opennlp.tools.postag.POSTaggerTrainer
Deprecated.
trainMaxentModel(EventStream, int, int) - Static method in class opennlp.tools.postag.POSTaggerTrainer
Deprecated.
trainModel(EventStream) - Static method in class opennlp.maxent.GIS
Train a model using the GIS algorithm, assuming 100 iterations and no cutoff.
trainModel(EventStream, boolean) - Static method in class opennlp.maxent.GIS
Train a model using the GIS algorithm, assuming 100 iterations and no cutoff.
trainModel(EventStream, int, int) - Static method in class opennlp.maxent.GIS
Train a model using the GIS algorithm.
trainModel(EventStream, int, int, boolean, boolean) - Static method in class opennlp.maxent.GIS
Train a model using the GIS algorithm.
trainModel(EventStream, int, int, double) - Static method in class opennlp.maxent.GIS
Train a model using the GIS algorithm.
trainModel(int, DataIndexer, boolean) - Static method in class opennlp.maxent.GIS
Train a model using the GIS algorithm.
trainModel(int, DataIndexer) - Static method in class opennlp.maxent.GIS
Train a model using the GIS algorithm.
trainModel(int, DataIndexer, Prior, int) - Static method in class opennlp.maxent.GIS
Train a model using the GIS algorithm with the specified number of iterations, data indexer, and prior.
trainModel(int, DataIndexer, boolean, boolean, Prior, int) - Static method in class opennlp.maxent.GIS
Train a model using the GIS algorithm.
trainModel(int, DataIndexer, boolean, boolean, Prior, int, int) - Static method in class opennlp.maxent.GIS
Train a model using the GIS algorithm.
trainModel(DataIndexer) - Method in class opennlp.maxent.quasinewton.QNTrainer
 
trainModel(int, DataIndexer, int) - Method in class opennlp.perceptron.PerceptronTrainer
 
trainModel(int, DataIndexer, int, boolean) - Method in class opennlp.perceptron.PerceptronTrainer
 
trainModel(int, SequenceStream, int, boolean) - Method in class opennlp.perceptron.SimplePerceptronSequenceTrainer
 
trainModel(String) - Static method in class opennlp.tools.coref.sim.GenderModel
 
trainModel() - Method in class opennlp.tools.coref.sim.GenderModel
 
trainModel(String) - Static method in class opennlp.tools.coref.sim.NumberModel
 
trainModel() - Method in class opennlp.tools.coref.sim.NumberModel
 
trainModel(String) - Static method in class opennlp.tools.coref.sim.SimilarityModel
 
trainModel() - Method in class opennlp.tools.coref.sim.SimilarityModel
Train a model based on the previously supplied evidence.
trainModel() - Method in interface opennlp.tools.coref.sim.TrainSimilarityModel
 
trainPerceptronModel(EventStream, int, int, boolean) - Static method in class opennlp.tools.postag.POSTaggerTrainer
Deprecated.
 
trainPerceptronModel(EventStream, int, int) - Static method in class opennlp.tools.postag.POSTaggerTrainer
Deprecated.
 
trainPerceptronSequenceModel(SequenceStream, int, int, boolean) - Static method in class opennlp.tools.postag.POSTaggerTrainer
Deprecated.
 
TrainSimilarityModel - Interface in opennlp.tools.coref.sim
Interface for training a similarity, gender, or number model.
TrainUtil - Class in opennlp.model
 
TrainUtil() - Constructor for class opennlp.model.TrainUtil
 
TreebankLinker - Class in opennlp.tools.coref
This class perform coreference for treebank style parses.
TreebankLinker(String, LinkerMode) - Constructor for class opennlp.tools.coref.TreebankLinker
 
TreebankLinker(String, LinkerMode, boolean) - Constructor for class opennlp.tools.coref.TreebankLinker
 
TreebankLinker(String, LinkerMode, boolean, double) - Constructor for class opennlp.tools.coref.TreebankLinker
 
TreebankLinker - Class in opennlp.tools.lang.english
Deprecated.
will be removed soon!
TreebankLinker(String, LinkerMode) - Constructor for class opennlp.tools.lang.english.TreebankLinker
Deprecated.
 
TreebankLinker(String, LinkerMode, boolean) - Constructor for class opennlp.tools.lang.english.TreebankLinker
Deprecated.
 
TreebankLinker(String, LinkerMode, boolean, double) - Constructor for class opennlp.tools.lang.english.TreebankLinker
Deprecated.
 
TreebankNameFinder - Class in opennlp.tools.lang.english
Deprecated.
will be removed soon!
TreebankNameFinder(TokenNameFinderModel) - Constructor for class opennlp.tools.lang.english.TreebankNameFinder
Deprecated.
Creates an English name finder using the specified model.
TreeElement() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
 
TreeHeap<E> - Class in opennlp.tools.util
Deprecated.
not used anymore, when there is need for a heap use ListHeap instead
TreeHeap() - Constructor for class opennlp.tools.util.TreeHeap
Deprecated.
Creates a new tree heap.
TreeHeap(int) - Constructor for class opennlp.tools.util.TreeHeap
Deprecated.
Creates a new tree heap of the specified size.
TwoPassDataIndexer - Class in opennlp.model
Collecting event and context counts by making two passes over the events.
TwoPassDataIndexer(EventStream) - Constructor for class opennlp.model.TwoPassDataIndexer
One argument constructor for DataIndexer which calls the two argument constructor assuming no cutoff.
TwoPassDataIndexer(EventStream, int) - Constructor for class opennlp.model.TwoPassDataIndexer
 
TwoPassDataIndexer(EventStream, int, boolean) - Constructor for class opennlp.model.TwoPassDataIndexer
Two argument constructor for DataIndexer.
type - Variable in class opennlp.tools.cmdline.TypedCmdLineTool
variable to access the type of the generic parameter.
type - Variable in class opennlp.tools.coref.mention.Mention
A string representing the type of this extent.
TYPE_FEATURE_PARAMETER - Static variable in class opennlp.uima.parser.Parser
 
TYPE_NOT_FOUND - Static variable in class opennlp.uima.util.ExceptionMessages
 
TypedCmdLineTool<T> - Class in opennlp.tools.cmdline
Base class for tools which support processing of samples of some type T coming from a stream of a certain format.
TypedCmdLineTool(Class<T>) - Constructor for class opennlp.tools.cmdline.TypedCmdLineTool
Constructor with type parameters.
typeSystemInit(TypeSystem) - Method in class opennlp.uima.chunker.Chunker
Initializes the type system.
typeSystemInit(TypeSystem) - Method in class opennlp.uima.chunker.ChunkerTrainer
Initialize the current instance with the given type system.
typeSystemInit(TypeSystem) - Method in class opennlp.uima.doccat.DocumentCategorizer
 
typeSystemInit(TypeSystem) - Method in class opennlp.uima.doccat.DocumentCategorizerTrainer
 
typeSystemInit(TypeSystem) - Method in class opennlp.uima.namefind.NameFinder
Initializes the type system.
typeSystemInit(TypeSystem) - Method in class opennlp.uima.namefind.NameFinderTrainer
Initialize the current instance with the given type system.
typeSystemInit(TypeSystem) - Method in class opennlp.uima.normalizer.Normalizer
Initializes the type system.
typeSystemInit(TypeSystem) - Method in class opennlp.uima.parser.Parser
Initializes the type system.
typeSystemInit(TypeSystem) - Method in class opennlp.uima.postag.POSTagger
Initializes the type system.
typeSystemInit(TypeSystem) - Method in class opennlp.uima.postag.POSTaggerTrainer
Initialize the current instance with the given type system.
typeSystemInit(TypeSystem) - Method in class opennlp.uima.sentdetect.AbstractSentenceDetector
 
typeSystemInit(TypeSystem) - Method in class opennlp.uima.sentdetect.SentenceDetector
Initializes the type system.
typeSystemInit(TypeSystem) - Method in class opennlp.uima.sentdetect.SentenceDetectorTrainer
Initializes the current instance with the given type system.
typeSystemInit(TypeSystem) - Method in class opennlp.uima.tokenize.AbstractTokenizer
 
typeSystemInit(TypeSystem) - Method in class opennlp.uima.tokenize.Tokenizer
Initializes the type system.
typeSystemInit(TypeSystem) - Method in class opennlp.uima.tokenize.TokenizerTrainer
Initialize the current instance with the given type system.

U

UimaUtil - Class in opennlp.uima.util
This is a util class for uima operations.
UncloseableInputStream - Class in opennlp.tools.util.model
An InputStream which cannot be closed.
UncloseableInputStream(InputStream) - Constructor for class opennlp.tools.util.model.UncloseableInputStream
 
UniformPrior - Class in opennlp.model
Provide a maximum entropy model with a uniform prior.
UniformPrior() - Constructor for class opennlp.model.UniformPrior
 
UNKNOWN - Static variable in class opennlp.tools.coref.sim.GenderEnum
Unknown gender.
UNKNOWN - Static variable in class opennlp.tools.coref.sim.NumberEnum
Unknown number type.
UNKNOWN - Static variable in class opennlp.tools.coref.sim.SemanticEnum
Semantic compatibility Unknown.
unregisterFactory(Class, String) - Static method in class opennlp.tools.cmdline.StreamFactoryRegistry
Unregisters a factory which reads format named formatName and instantiates streams producing objects of sampleClass class.
update(String[], Set<String>, Map<String, Integer>, int) - Static method in class opennlp.model.AbstractDataIndexer
Updates the set of predicated and counter with the specified event contexts and cutoff.
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
 
updateAdaptiveData(String[], String[]) - Method in interface opennlp.tools.namefind.NameContextGenerator
Informs all the feature generators for a name finder that the specified tokens have been classified with the coorisponds set of specified outcomes.
updateAdaptiveData(String[], String[]) - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator
Informs the feature generator that the specified tokens have been classified with the corresponding set of specified outcomes.
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
 
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.FeatureGeneratorAdapter
 
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator
Generates previous decision features for the token based on contents of the previous map.
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
 
updateBuildModel(AbstractModel) - Method in class opennlp.tools.parser.ParserModel
 
updateCheckModel(AbstractModel) - Method in class opennlp.tools.parser.ParserModel
 
updateChunkerModel(ChunkerModel) - Method in class opennlp.tools.parser.ParserModel
 
updateContext(Sequence, AbstractModel) - Method in interface opennlp.model.SequenceStream
Creates a new event array based on the outcomes predicted by the specified parameters for the specified sequence.
updateContext(Sequence, AbstractModel) - Method in class opennlp.tools.namefind.NameSampleSequenceStream
 
updateContext(Sequence, AbstractModel) - Method in class opennlp.tools.postag.POSSampleSequenceStream
 
updateExtent(DiscourseModel, MentionContext, DiscourseEntity, boolean) - Method in class opennlp.tools.coref.AbstractLinker
Updates the specified discourse model with the specified mention as coreferent with the specified entity.
updateFeatureGenerator(byte[]) - Method in class opennlp.tools.namefind.TokenNameFinderModel
 
updateHeads(HeadRules) - Method in class opennlp.tools.parser.Parse
Computes the head parses for this parse and its sub-parses and stores this information in the parse data structure.
updateParameter(int, double) - Method in class opennlp.model.MutableContext
Updated the parameter or expected value at the specified outcomeIndex by adding the specified value to its current value.
updatePoint(double[], double[], double) - Static method in class opennlp.maxent.quasinewton.ArrayMath
 
updateScores(Object[], Object[]) - Method in class opennlp.tools.util.eval.FMeasure
 
updateSpan() - Method in class opennlp.tools.parser.Parse
 
updateTaggerModel(POSModel) - Method in class opennlp.tools.parser.ParserModel
 
USE_SMOOTHING - Static variable in class opennlp.maxent.ModelTrainer
 
useAlphaNumericOptimization() - Method in class opennlp.tools.tokenize.TokenizerME
Returns the value of the alpha-numeric optimization flag.
useAlphaNumericOptimization() - Method in class opennlp.tools.tokenize.TokenizerModel
 
useClosedClassTagsFilter - Variable in class opennlp.tools.postag.POSTaggerME
Says whether a filter should be used to check whether a tag assignment is to a word outside of a closed class.
useDiscourseModel - Variable in class opennlp.tools.coref.AbstractLinker
Specifies whether coreferent mentions should be combined into a single entity.
useFunctionTags(boolean) - Static method in class opennlp.tools.parser.Parse
Specifies whether function tags should be included as part of the constituent type.
useLabel - Variable in class opennlp.tools.parser.AbstractContextGenerator
 
useSameModelForNonRef - Variable in class opennlp.tools.coref.resolver.MaxentResolver
When true, this designates that the same maximum entropy model should be used non-reference events (the pairing of a mention and the "null" reference) as is used for potentially referential pairs.
useTokenEnd - Variable in class opennlp.tools.sentdetect.SentenceDetectorME
 
useTokenEnd() - Method in class opennlp.tools.sentdetect.SentenceModel
 

V

validateAllArgs(String[], Class<A>, String) - Method in class opennlp.tools.cmdline.TypedCmdLineTool
Validates arguments using parameters from argProxyInterface and the parameters of the format.
validateAndParseParams(String[], Class<T>) - Method in class opennlp.tools.cmdline.CmdLineTool
 
validateArguments(String[], Class<T>) - Static method in class opennlp.tools.cmdline.ArgumentParser
Tests if the argument are correct or incorrect.
validateArguments(String[], Class<T>...) - Static method in class opennlp.tools.cmdline.ArgumentParser
Tests if the argument are correct or incorrect.
validateArgumentsLoudly(String[], Class<T>) - Static method in class opennlp.tools.cmdline.ArgumentParser
Tests if the arguments are correct or incorrect.
validateArgumentsLoudly(String[], Class<T>...) - Static method in class opennlp.tools.cmdline.ArgumentParser
Tests if the arguments are correct or incorrect.
validateArtifactMap() - Method in class opennlp.tools.chunker.ChunkerFactory
 
validateArtifactMap() - Method in class opennlp.tools.chunker.ChunkerModel
 
validateArtifactMap() - Method in class opennlp.tools.doccat.DoccatModel
 
validateArtifactMap() - Method in class opennlp.tools.namefind.TokenNameFinderModel
 
validateArtifactMap() - Method in class opennlp.tools.parser.ParserModel
 
validateArtifactMap() - Method in class opennlp.tools.postag.POSModel
 
validateArtifactMap() - Method in class opennlp.tools.postag.POSTaggerFactory
 
validateArtifactMap() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
 
validateArtifactMap() - Method in class opennlp.tools.sentdetect.SentenceModel
 
validateArtifactMap() - Method in class opennlp.tools.tokenize.TokenizerFactory
 
validateArtifactMap() - Method in class opennlp.tools.tokenize.TokenizerModel
 
validateArtifactMap() - Method in class opennlp.tools.util.BaseToolFactory
Validates the parsed artifacts.
validateArtifactMap() - Method in class opennlp.tools.util.model.BaseModel
Validates the parsed artifacts.
validateFactoryArgs(ObjectStreamFactory<T>, String[]) - Method in class opennlp.tools.cmdline.TypedCmdLineTool
Validates arguments for a format processed by the factory.
validateOutcomes(MaxentModel, String...) - Static method in class opennlp.tools.util.model.ModelUtil
Checks if the expected outcomes are all contained as outcomes in the given model.
validatePOSDictionary(POSDictionary, AbstractModel) - Method in class opennlp.tools.postag.POSTaggerFactory
 
validOutcome(String, String[]) - Method in class opennlp.tools.chunker.DefaultChunkerSequenceValidator
 
validSequence(int, String[], String[], String) - Method in class opennlp.tools.chunker.DefaultChunkerSequenceValidator
 
validSequence(int, String[], String[], String) - Method in class opennlp.tools.namefind.NameFinderSequenceValidator
 
validSequence(int, String[], String[], String) - Method in class opennlp.tools.parser.ParserChunkerSequenceValidator
 
validSequence(int, String[], String[], String) - Method in class opennlp.tools.postag.DefaultPOSSequenceValidator
 
validSequence(int, T[], String[], String) - Method in interface opennlp.tools.util.SequenceValidator
Determines whether a particular continuation of a sequence is valid.
valueAt(double[]) - Method in interface opennlp.maxent.quasinewton.Function
 
valueAt(double[]) - Method in class opennlp.maxent.quasinewton.LogLikelihoodFunction
 
valueOf(String) - Static method in enum opennlp.model.AbstractModel.ModelType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.coref.LinkerMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.coref.resolver.ResolverMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.parser.ParserEventTypeEnum
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.parser.ParserType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.tokenize.DetokenizationDictionary.Operation
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.tokenize.Detokenizer.DetokenizationOperation
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.util.model.ModelType
Returns the enum constant of this type with the specified name.
values() - Static method in enum opennlp.model.AbstractModel.ModelType
Returns an array containing the constants of this enum type, in the order they are declared.
values - Variable in class opennlp.model.ComparableEvent
 
values() - Static method in enum opennlp.tools.coref.LinkerMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.coref.resolver.ResolverMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.parser.ParserEventTypeEnum
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.parser.ParserType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.tokenize.DetokenizationDictionary.Operation
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.tokenize.Detokenizer.DetokenizationOperation
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class opennlp.tools.util.Cache
 
values() - Static method in enum opennlp.tools.util.model.ModelType
Returns an array containing the constants of this enum type, in the order they are declared.
Version - Class in opennlp.tools.util
The Version class represents the OpenNlp Tools library version.
Version(int, int, int, boolean) - Constructor for class opennlp.tools.util.Version
Initializes the current instance with the provided versions.
Version(int, int, int) - Constructor for class opennlp.tools.util.Version
Initializes the current instance with the provided versions.

W

WhitespaceTokenizer - Class in opennlp.tools.tokenize
This tokenizer uses white spaces to tokenize the input text.
WhitespaceTokenizer - Class in opennlp.uima.tokenize
OpenNLP Whitespace Tokenizer annotator.
WhitespaceTokenizer() - Constructor for class opennlp.uima.tokenize.WhitespaceTokenizer
Initializes the current instance.
WhitespaceTokenStream - Class in opennlp.tools.tokenize
This stream formats a TokenSamples into whitespace separated token strings.
WhitespaceTokenStream(ObjectStream<TokenSample>) - Constructor for class opennlp.tools.tokenize.WhitespaceTokenStream
 
WindowFeatureGenerator - Class in opennlp.tools.util.featuregen
Generates previous and next features for a given AdaptiveFeatureGenerator.
WindowFeatureGenerator(AdaptiveFeatureGenerator, int, int) - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGenerator
Initializes the current instance with the given parameters.
WindowFeatureGenerator(int, int, AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGenerator
Initializes the current instance with the given parameters.
WindowFeatureGenerator(AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGenerator
Initializes the current instance.
WindowFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGenerator
Initializes the current instance with the given parameters.
WordTagSampleStream - Class in opennlp.tools.postag
A stream filter which reads a sentence per line which contains words and tags in word_tag format and outputs a POSSample objects.
WordTagSampleStream(Reader) - Constructor for class opennlp.tools.postag.WordTagSampleStream
Initializes the current instance.
WordTagSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.postag.WordTagSampleStream
 
WordTagSampleStreamFactory - Class in opennlp.tools.formats
Note: Do not use this class, internal use only!
WordTagSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.WordTagSampleStreamFactory
 
WordTagSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
 
write() - Method in class opennlp.tools.postag.POSDictionaryWriter
Deprecated.
 
write(int) - Method in class opennlp.tools.postag.POSDictionaryWriter
Deprecated.
 
write(String, int) - Method in class opennlp.tools.util.CountedSet
Deprecated.
write(String, int, String) - Method in class opennlp.tools.util.CountedSet
Deprecated.
write(String, int, String, String) - Method in class opennlp.tools.util.CountedSet
Deprecated.
writeDouble(double) - Method in class opennlp.maxent.io.BinaryGISModelWriter
 
writeDouble(double) - Method in class opennlp.maxent.io.BinaryQNModelWriter
 
writeDouble(double) - Method in class opennlp.maxent.io.ObjectGISModelWriter
 
writeDouble(double) - Method in class opennlp.maxent.io.ObjectQNModelWriter
 
writeDouble(double) - Method in class opennlp.maxent.io.PlainTextGISModelWriter
 
writeDouble(double) - Method in class opennlp.maxent.io.SuffixSensitiveGISModelWriter
 
writeDouble(double) - Method in class opennlp.model.AbstractModelWriter
 
writeDouble(double) - Method in class opennlp.model.GenericModelWriter
 
writeDouble(double) - Method in class opennlp.perceptron.BinaryPerceptronModelWriter
 
writeDouble(double) - Method in class opennlp.perceptron.PlainTextPerceptronModelWriter
 
writeDouble(double) - Method in class opennlp.perceptron.SuffixSensitivePerceptronModelWriter
 
writeInt(int) - Method in class opennlp.maxent.io.BinaryGISModelWriter
 
writeInt(int) - Method in class opennlp.maxent.io.BinaryQNModelWriter
 
writeInt(int) - Method in class opennlp.maxent.io.ObjectGISModelWriter
 
writeInt(int) - Method in class opennlp.maxent.io.ObjectQNModelWriter
 
writeInt(int) - Method in class opennlp.maxent.io.PlainTextGISModelWriter
 
writeInt(int) - Method in class opennlp.maxent.io.SuffixSensitiveGISModelWriter
 
writeInt(int) - Method in class opennlp.model.AbstractModelWriter
 
writeInt(int) - Method in class opennlp.model.GenericModelWriter
 
writeInt(int) - Method in class opennlp.perceptron.BinaryPerceptronModelWriter
 
writeInt(int) - Method in class opennlp.perceptron.PlainTextPerceptronModelWriter
 
writeInt(int) - Method in class opennlp.perceptron.SuffixSensitivePerceptronModelWriter
 
writeModel(String, File, BaseModel) - Static method in class opennlp.tools.cmdline.CmdLineUtil
Writes a BaseModel to disk.
writeModel(AbstractModel, OutputStream) - Static method in class opennlp.tools.util.model.ModelUtil
Writes the given model to the given OutputStream.
writeReport() - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
Writes the report to the OutputStream.
writeUTF(String) - Method in class opennlp.maxent.io.BinaryGISModelWriter
 
writeUTF(String) - Method in class opennlp.maxent.io.BinaryQNModelWriter
 
writeUTF(String) - Method in class opennlp.maxent.io.ObjectGISModelWriter
 
writeUTF(String) - Method in class opennlp.maxent.io.ObjectQNModelWriter
 
writeUTF(String) - Method in class opennlp.maxent.io.PlainTextGISModelWriter
 
writeUTF(String) - Method in class opennlp.maxent.io.SuffixSensitiveGISModelWriter
 
writeUTF(String) - Method in class opennlp.model.AbstractModelWriter
 
writeUTF(String) - Method in class opennlp.model.GenericModelWriter
 
writeUTF(String) - Method in class opennlp.perceptron.BinaryPerceptronModelWriter
 
writeUTF(String) - Method in class opennlp.perceptron.PlainTextPerceptronModelWriter
 
writeUTF(String) - Method in class opennlp.perceptron.SuffixSensitivePerceptronModelWriter
 
WRONG_FEATURE_TYPE - Static variable in class opennlp.uima.util.ExceptionMessages
 
WRONG_PARAMETER_TYPE - Static variable in class opennlp.uima.util.ExceptionMessages
 

Z

ZERO - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
The integer 0.
zeroBackOff - Variable in class opennlp.tools.parser.AbstractContextGenerator
 
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