- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- ADSentenceSampleStream(FileInputStream, String, boolean) - Constructor for class opennlp.tools.formats.ad.ADSentenceSampleStream
-
- 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
-
- 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
-
- 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
-
- 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
-
- Attributes() - Constructor for class opennlp.tools.dictionary.serializer.Attributes
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- ChunkerME(ChunkerModel, int, SequenceValidator<String>) - Constructor for class opennlp.tools.chunker.ChunkerME
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- create(InputStream) - Method in interface opennlp.tools.util.model.ArtifactSerializer
-
- 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
-
- createArtifactSerializersMap() - Method in class opennlp.tools.postag.POSTaggerFactory
-
- createArtifactSerializersMap() - Method in class opennlp.tools.util.BaseToolFactory
-
- 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
-
- createObjectStream(Collection<T>) - Static method in class opennlp.tools.util.ObjectStreamUtils
-
- 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.
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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.
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- Index(Iterator<StringList>) - Constructor for class opennlp.tools.dictionary.Index
-
- 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
-
- 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
-
- 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
-
- 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
-
- iterator() - Method in class opennlp.tools.util.TreeHeap
-
Deprecated.
- iterator() - Method in class opennlp.uima.util.AnnotationComboIterator
-
- 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 Object
s 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- POSDictionary(boolean) - Constructor for class opennlp.tools.postag.POSDictionary
-
- POSDictionary(String) - Constructor for class opennlp.tools.postag.POSDictionary
-
- POSDictionary(String, boolean) - Constructor for class opennlp.tools.postag.POSDictionary
-
- POSDictionary(String, String, boolean) - Constructor for class opennlp.tools.postag.POSDictionary
-
- POSDictionary(BufferedReader, boolean) - Constructor for class opennlp.tools.postag.POSDictionary
-
- 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
-
- 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
-
- POSEvaluator - Class in opennlp.tools.postag
-
- POSEvaluator(POSTagger, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSEvaluator
-
Initializes the current instance.
- POSModel - Class in opennlp.tools.postag
-
- 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
-
- POSSampleEventStream(ObjectStream<POSSample>, POSContextGenerator) - Constructor for class opennlp.tools.postag.POSSampleEventStream
-
- POSSampleEventStream(ObjectStream<POSSample>) - Constructor for class opennlp.tools.postag.POSSampleEventStream
-
- 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
-
- POSTaggerCrossValidator(String, TrainingParameters, POSTaggerFactory, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator
-
- 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
-
- 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
-
- POSTaggerFineGrainedReportListener - Class in opennlp.tools.cmdline.postag
-
Generates a detailed report for the POS Tagger.
- POSTaggerFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
-
- POSTaggerFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
-
- 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
-
- 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
-
- 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
-
- processSample(NameSample) - Method in class opennlp.tools.namefind.TokenNameFinderEvaluator
-
- 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
-
- 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
-
- 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
-
- SDCrossValidator(String, TrainingParameters, SentenceDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator
-
- SDCrossValidator(String) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- serialize(OutputStream) - Method in class opennlp.tools.ngram.NGramModel
-
- 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
-
- serialize(OutputStream) - Method in class opennlp.tools.tokenize.DetokenizationDictionary
-
- serialize(T, OutputStream) - Method in interface opennlp.tools.util.model.ArtifactSerializer
-
- serialize(OutputStream) - Method in class opennlp.tools.util.model.BaseModel
-
- 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
-
- serialize(BaseModel, File) - Static method in class opennlp.uima.util.OpennlpUtil
-
- 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
-
- 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
Span
s to an array of
String
s.
- 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
-
- 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
-
- tag(List<String>) - Method in interface opennlp.tools.postag.POSTagger
-
- 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
-
- 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
-
- toDictionary(boolean) - Method in class opennlp.tools.ngram.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
-
- TokenEvaluationErrorListener - Class in opennlp.tools.cmdline.tokenizer
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- TokenizerModel(String, AbstractModel, boolean, Map<String, String>) - Constructor for class opennlp.tools.tokenize.TokenizerModel
-
- TokenizerModel(String, AbstractModel, boolean) - Constructor for class opennlp.tools.tokenize.TokenizerModel
-
- 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
AnalysisEngine
s
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
-
- 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
-
- TokenNameFinderEvaluator(TokenNameFinder, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderEvaluator
-
- TokenNameFinderEvaluatorTool - Class in opennlp.tools.cmdline.namefind
-
- TokenNameFinderEvaluatorTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool
-
- TokenNameFinderModel - Class in opennlp.tools.namefind
-
- 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
-
- 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
TokenSample
s 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- train(String, ObjectStream<ChunkSample>, int, int, ChunkerContextGenerator) - Static method in class opennlp.tools.chunker.ChunkerME
-
- train(String, ObjectStream<ChunkSample>, int, int) - Static method in class opennlp.tools.chunker.ChunkerME
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- train(String, ObjectStream<TokenSample>, boolean, TrainingParameters) - Static method in class opennlp.tools.tokenize.TokenizerME
-
- train(String, ObjectStream<TokenSample>, Dictionary, boolean, TrainingParameters) - Static method in class opennlp.tools.tokenize.TokenizerME
-
- train(String, ObjectStream<TokenSample>, boolean, int, int) - Static method in class opennlp.tools.tokenize.TokenizerME
-
- train(String, ObjectStream<TokenSample>, boolean) - Static method in class opennlp.tools.tokenize.TokenizerME
-
- 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
-
- 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
-
- 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
-
- 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.