Index (Apache OpenNLP :: API 3.0.0-M2 API)

A B C D E F G H I L M N O P R S T U V W
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

AbstractObjectStream<T> - Class in opennlp.tools.util: A base ObjectStream implementation.
ACCURACY - Enum constant in enum class opennlp.tools.monitoring.TrainingMeasure
AdaptiveFeatureGenerator - Interface in opennlp.tools.util.featuregen: An interface for generating features for name entity identification and for updating document level contexts.
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(String, double) - Method in class opennlp.tools.util.Sequence: Adds an outcome and probability to this sequence.
add(Parse, HeadRules) - Method in class opennlp.tools.parser.Parse
addFeatureGenerator(AdaptiveFeatureGenerator) - Method in interface opennlp.tools.namefind.NameContextGenerator: Adds a feature generator.
additionalData() - Method in record class opennlp.tools.util.TokenTag: Returns the value of the additionalData record component.
addNames(String, Span[], Parse[]) - Static method in class opennlp.tools.parser.Parse: Utility method to insert named entities.
addNextPunctuation(Parse) - Method in class opennlp.tools.parser.Parse: Designates that the specified punctuation follows this parse.
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 logProb 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
algorithm() - Method in interface opennlp.tools.util.Parameters
algorithm(String) - Method in interface opennlp.tools.util.Parameters
ALGORITHM_DEFAULT_VALUE - Static variable in interface opennlp.tools.util.Parameters
ALGORITHM_PARAM - Static variable in interface opennlp.tools.util.Parameters
AlgorithmType - Enum Class in opennlp.tools.ml
areOutcomesCompatible(String[]) - Method in interface opennlp.tools.util.SequenceCodec: Checks if the outcomes of a model are compatible with this SequenceCodec.
argmax(double[]) - Static method in class opennlp.tools.ml.ArrayMath: Finds the index of the maximum element in a vector x
ArgumentParser - Class in opennlp.tools.cmdline: Parser for command line arguments.
ArgumentParser.OptionalParameter - Annotation Interface in opennlp.tools.cmdline
ArgumentParser.ParameterDescription - Annotation Interface in opennlp.tools.cmdline
ArrayMath - Class in opennlp.tools.ml: Utility class for simple vector arithmetic.
ArrayMath() - Constructor for class opennlp.tools.ml.ArrayMath
ArtifactProvider - Interface in opennlp.tools.util.model: Provides access to model persisted artifacts.
ArtifactSerializer<T> - Interface in opennlp.tools.util.model: Responsible to create an artifact from an InputStream.
ATTACH - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum

B

BaseLink - Class in opennlp.tools.entitylinker: Represents a minimal tuple of information.
BaseLink(String, String, String, String) - Constructor for class opennlp.tools.entitylinker.BaseLink
BasicFormatParams - Interface in opennlp.tools.cmdline.params: Common format parameters.
BasicTrainingParams - Interface in opennlp.tools.cmdline.params: Common training parameters.
BeamSearchContextGenerator<T> - Interface in opennlp.tools.util: Interface for context generators used with a sequence beam search.
bestSequence(T[], Object[], BeamSearchContextGenerator, SequenceValidator) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel: Finds the Sequence with the highest probability.
bestSequences(int, T[], Object[], double, BeamSearchContextGenerator, SequenceValidator) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel: Finds the n most probable sequences with the highest probability.
bestSequences(int, T[], Object[], BeamSearchContextGenerator, SequenceValidator) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel: Finds the n most probable sequences with the highest probability.
BRACKET_LCB - Static variable in class opennlp.tools.parser.Parse
BRACKET_LRB - Static variable in class opennlp.tools.parser.Parse
BRACKET_LSB - Static variable in class opennlp.tools.parser.Parse
BRACKET_RCB - Static variable in class opennlp.tools.parser.Parse
BRACKET_RRB - Static variable in class opennlp.tools.parser.Parse
BRACKET_RSB - Static variable in class opennlp.tools.parser.Parse
BUILD - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum

C

Cache<K,V> - Class in opennlp.tools.util: Provides fixed size, pre-allocated, least recently used replacement cache.
Cache(int) - Constructor for class opennlp.tools.util.Cache
calculateProbability(String...) - Method in interface opennlp.tools.languagemodel.LanguageModel: Calculate the probability of a series of tokens (e.g. a sentence), given a vocabulary.
categorize(String[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer: Categorizes the given text, provided in separate tokens.
categorize(String[], Map) - Method in interface opennlp.tools.doccat.DocumentCategorizer: Categorizes the given text provided as tokens along with the provided extraInformation.
CharSequenceNormalizer - Interface in opennlp.tools.util.normalizer: A char sequence normalizer, used to adjusting (prune, substitute, add, etc.) characters in order to remove noise from text
CHECK - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum
chunk(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker: Generates chunk tags for the given sequence returning the result in an array.
CHUNK - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum: Deprecated.
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.
Chunker - Interface in opennlp.tools.chunker: The interface for chunkers which provide chunk tags for a sequence of tokens.
CHUNKER - Enum constant in enum class opennlp.tools.models.ModelType
ChunkerContextGenerator - Interface in opennlp.tools.chunker: Interface for a BeamSearchContextGenerator used in syntactic chunking.
ChunkerEvaluationMonitor - Interface in opennlp.tools.chunker: A marker interface for evaluating chunkers.
CHUNKING - Enum constant in enum class opennlp.tools.parser.ParserType
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 a ChunkSample instance.
ChunkSample(List, List, List) - Constructor for class opennlp.tools.chunker.ChunkSample: Initializes a ChunkSample instance.
ClassPathLoaderException - Exception Class in opennlp.tools.models
ClassPathLoaderException(String) - Constructor for exception class opennlp.tools.models.ClassPathLoaderException
ClassPathLoaderException(String, Throwable) - Constructor for exception class opennlp.tools.models.ClassPathLoaderException
ClassPathLoaderException(Throwable) - Constructor for exception class opennlp.tools.models.ClassPathLoaderException
ClassPathModelEntry - Record Class in opennlp.tools.models: Encapsulates a classpath entry that is associated with a model URI and optional properties.
ClassPathModelEntry(URI, Optional) - Constructor for record class opennlp.tools.models.ClassPathModelEntry: Creates an instance of a ClassPathModelEntry record class.
ClassPathModelFinder - Interface in opennlp.tools.models: Describes a scanner which detects OpenNLP specific model files in an applications's classpath.
clearAdaptiveData() - Method in interface opennlp.tools.namefind.NameContextGenerator: Informs all the feature generators that the context of the adaptive data (typically a document) is no longer valid and should be cleared.
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 a feature generator that the context of the adaptive data (typically a document) is no longer valid.
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.tools.util.AbstractObjectStream
close() - Method in interface opennlp.tools.util.ObjectStream: Closes the ObjectStream and releases all allocated resources.
close() - Method in class opennlp.tools.util.PlainTextByLineStream
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.
complete() - Method in class opennlp.tools.parser.Parse
computeShortestEditScript(String, String, int[][], StringBuffer) - Static method in class opennlp.tools.util.StringUtil: Computes the Shortest Edit Script (SES) to convert a word into its lemma.
concatenateObjectStream(Collection) - Static method in class opennlp.tools.util.ObjectStreamUtils: Creates a single concatenated ObjectStream from multiple individual streams with the same type T.
concatenateObjectStream(ObjectStream...) - Static method in class opennlp.tools.util.ObjectStreamUtils: Creates a single concatenated ObjectStream from multiple individual streams with the same type.
Constituent - Class in opennlp.tools.parser: Holds constituents when reading parses.
Constituent(String, Span) - Constructor for class opennlp.tools.parser.Constituent
contains(int) - Method in class opennlp.tools.util.Span: An index with the value of end is considered outside the Span.
contains(Span) - Method in class opennlp.tools.util.Span: Identical spans are considered to contain each other.
context() - Method in record class opennlp.tools.langdetect.LanguageSample: Returns the value of the context record component.
Context - Class in opennlp.tools.ml.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.tools.ml.model.Context: Creates a new parameters object with the specified parameters associated with the specified outcome pattern.
correctlyClassified(T, T) - Method in interface opennlp.tools.util.eval.EvaluationMonitor
count() - Method in class opennlp.tools.util.eval.Mean
create(InputStream) - Method in interface opennlp.tools.util.model.ArtifactSerializer: Creates an artifact from the provided InputStream.
create(String[]) - Method in interface opennlp.tools.cmdline.ObjectStreamFactory: Creates an ObjectStream of the template type T.
create(String[], String[]) - Static method in record class opennlp.tools.util.TokenTag
createArguments(Class...) - Static method in class opennlp.tools.cmdline.ArgumentParser: Outputs the arguments as a data structure, so it can be used to create documentation.
createFeatures(List, 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 previousOutcomes to the specified list of features.
createInputStream() - Method in interface opennlp.tools.util.InputStreamFactory
createObjectStream(Collection) - Static method in class opennlp.tools.util.ObjectStreamUtils: Creates an ObjectStream form a Collection<T>.
createObjectStream(T...) - Static method in class opennlp.tools.util.ObjectStreamUtils: Creates an ObjectStream form an array of T.
createSequenceValidator() - Method in interface opennlp.tools.util.SequenceCodec
createUsage(Class...) - 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) - 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: Checks if the specified Span crosses this span.
CUTOFF_DEFAULT_VALUE - Static variable in interface opennlp.tools.util.Parameters: The default cut off value is 5.
CUTOFF_PARAM - Static variable in interface opennlp.tools.util.Parameters
CVParams - Interface in opennlp.tools.cmdline.params: Common cross validator parameters.

D

DataIndexer<P> - Interface in opennlp.tools.ml.model: Represents an indexer which compresses events in memory and performs feature selection.
DataReader - Interface in opennlp.tools.ml.model: Describes generic ways to read data from a DataInputStream.
decode(List) - Method in interface opennlp.tools.util.SequenceCodec: Decodes a sequence of objects into Span objects.
decodeShortestEditScript(String, String) - Static method in class opennlp.tools.util.StringUtil: Reads the predicted Shortest Edit Script (SES) by a lemmatizer model and applies the permutations to obtain the lemma from the wordForm.
DEFAULT_CHARSET - Static variable in annotation interface opennlp.tools.cmdline.ArgumentParser.OptionalParameter
DEFAULT_PREFIX - Static variable in interface opennlp.tools.util.SequenceCodec
DEFAULT_SEPARATOR_CHARS - Static variable in class opennlp.tools.tokenize.TokenSample
DEFAULT_TYPE - Static variable in class opennlp.tools.namefind.NameSample: The default type value when there is no type in training data.
defaultValue() - Element in annotation interface opennlp.tools.cmdline.ArgumentParser.OptionalParameter
description() - Element in annotation interface opennlp.tools.cmdline.ArgumentParser.ParameterDescription
detokenize(String[]) - Method in interface opennlp.tools.tokenize.Detokenizer: Detokenizes the collection of tokens.
detokenize(String[], String) - Method in interface opennlp.tools.tokenize.Detokenizer: Detokenizes the input tokens into a String.
Detokenizer - Interface in opennlp.tools.tokenize: A Detokenizer merges tokens back to their detokenized representation.
Detokenizer.DetokenizationOperation - Enum Class 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
dimension() - Method in interface opennlp.tools.util.wordvector.WordVector
dimension() - Method in interface opennlp.tools.util.wordvector.WordVectorTable
display(boolean) - Method in interface opennlp.tools.monitoring.TrainingProgressMonitor: Displays the training progress and optionally clears the recorded progress (to save memory).
DoccatEvaluationMonitor - Interface in opennlp.tools.doccat: A marker interface for evaluating doccat.
DocumentCategorizer - Interface in opennlp.tools.doccat: Interface for classes which categorize documents.
DocumentNameFinder - Interface in opennlp.tools.namefind: Interface for processing an entire document allowing a TokenNameFinder 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: Initializes a instance.
DocumentSample(String, String[], Map) - Constructor for class opennlp.tools.doccat.DocumentSample: Initializes a instance.
DOUBLE - Enum constant in enum class opennlp.tools.util.wordvector.WordVectorType

E

encode(Span[], int) - Method in interface opennlp.tools.util.SequenceCodec: Encodes Span objects into a sequence of objects.
EncodingParameter - Interface in opennlp.tools.cmdline.params: Encoding parameter.
END_TAG - Static variable in class opennlp.tools.namefind.NameSample
EndOfSentenceScanner - Interface in opennlp.tools.sentdetect: Scans CharSequence, StringBuffer, and char[] for the offsets of sentence ending characters.
EntityLinker<T> - Interface in opennlp.tools.entitylinker: EntityLinkers establish connections with external data to enrich extracted entities.
EntityLinkerProperties - Class in opennlp.tools.entitylinker: Properties wrapper for EntityLinker implementations.
EntityLinkerProperties(File) - Constructor for class opennlp.tools.entitylinker.EntityLinkerProperties: Initializes EntityLinkerProperties via a File reference.
EntityLinkerProperties(InputStream) - Constructor for class opennlp.tools.entitylinker.EntityLinkerProperties: Initializes EntityLinkerProperties via a InputStream reference.
equals(Object) - Method in class opennlp.tools.chunker.ChunkSample
equals(Object) - Method in class opennlp.tools.doccat.DocumentSample
equals(Object) - Method in class opennlp.tools.entitylinker.BaseLink
equals(Object) - Method in class opennlp.tools.entitylinker.LinkedSpan
equals(Object) - Method in class opennlp.tools.langdetect.Language
equals(Object) - Method in record class opennlp.tools.langdetect.LanguageSample: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class opennlp.tools.lemmatizer.LemmaSample
equals(Object) - Method in class opennlp.tools.ml.model.Context
equals(Object) - Method in record class opennlp.tools.models.ClassPathModelEntry: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class opennlp.tools.namefind.NameSample
equals(Object) - Method in class opennlp.tools.parser.Parse
equals(Object) - Method in class opennlp.tools.postag.POSSample
equals(Object) - Method in class opennlp.tools.sentdetect.SentenceSample
equals(Object) - Method in class opennlp.tools.sentiment.SentimentSample
equals(Object) - Method in class opennlp.tools.tokenize.TokenSample
equals(Object) - Method in class opennlp.tools.util.Sequence
equals(Object) - Method in class opennlp.tools.util.Span
equals(Object) - Method in record class opennlp.tools.util.TokenTag: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class opennlp.tools.util.TrainingConfiguration: Indicates whether some other object is "equal to" this one.
eval(String[]) - Method in interface opennlp.tools.ml.model.MaxentModel: Evaluates a context.
eval(String[], double[]) - Method in interface opennlp.tools.ml.model.MaxentModel: Evaluates a context.
eval(String[], float[]) - Method in interface opennlp.tools.ml.model.MaxentModel: Evaluates a context with the specified context values.
EvaluationMonitor<T> - Interface in opennlp.tools.util.eval
EvaluatorParams - Interface in opennlp.tools.cmdline.params: Common evaluation parameters.
Event - Class in opennlp.tools.ml.model: The context of a decision point during training.
Event(String, CharSequence[]) - Constructor for class opennlp.tools.ml.model.Event: Instantiates an Event.
Event(String, CharSequence[], float[]) - Constructor for class opennlp.tools.ml.model.Event: Instantiates an Event.
Event(String, String[], float[]) - Constructor for class opennlp.tools.ml.model.Event: Instantiates an Event.
EVENT_VALUE - Static variable in interface opennlp.tools.ml.EventTrainer
EventModelSequenceTrainer<T,P> - Interface in opennlp.tools.ml: A specialized Trainer that is based on a 'EventModelSequence' approach.
EventTrainer<P> - Interface in opennlp.tools.ml: A specialized Trainer that is based on an Event approach.
expandTopNode(Parse) - Method in class opennlp.tools.parser.Parse
Experimental - Annotation Interface in opennlp.tools.util.java: Indicates that a certain API feature is not stable and might change with a new release.
ExtensionLoader - Class in opennlp.tools.util.ext: The ExtensionLoader is responsible to load extensions to the OpenNLP library.
ExtensionNotLoadedException - Exception Class in opennlp.tools.util.ext: Exception indicates that an OpenNLP extension could not be loaded.
ExtensionNotLoadedException(String) - Constructor for exception class opennlp.tools.util.ext.ExtensionNotLoadedException
ExtensionNotLoadedException(Throwable) - Constructor for exception class opennlp.tools.util.ext.ExtensionNotLoadedException
ExtensionServiceKeys - Class in opennlp.tools.util.ext
ExtensionServiceKeys() - Constructor for class opennlp.tools.util.ext.ExtensionServiceKeys
extractFeatures(String[], Map) - Method in interface opennlp.tools.doccat.FeatureGenerator: Extracts features from given text fragments.
extractTags(TokenTag[]) - Static method in record class opennlp.tools.util.TokenTag
extractTokens(TokenTag[]) - Static method in record class opennlp.tools.util.TokenTag

F

FeatureGenerator - Interface in opennlp.tools.doccat: Interface for generating features for document categorization.
FeatureGeneratorResourceProvider - Interface in opennlp.tools.util.featuregen: The FeatureGeneratorResourceProvider provides access to the resources available in the model.
filter(String[], Class) - Static method in class opennlp.tools.cmdline.ArgumentParser: Filters arguments leaving only those pertaining to argProxyInterface.
find(String[]) - Method in interface opennlp.tools.namefind.TokenNameFinder: Generates name tags for the given sequence, typically a sentence, returning token spans for any identified names.
find(String[][]) - Method in interface opennlp.tools.namefind.DocumentNameFinder: Finds tokens spans for the specified document of sentences and their tokens.
find(String, Span[], Span[][], Span[][]) - Method in interface opennlp.tools.entitylinker.EntityLinker: Links an entire document of named entities to an external source.
find(String, Span[], Span[][], Span[][], int) - Method in interface opennlp.tools.entitylinker.EntityLinker: Links the names that correspond to the tokens[] spans.
findModels(boolean) - Method in interface opennlp.tools.models.ClassPathModelFinder: Finds OpenNLP models available within an applications's classpath.
FineGrainedEvaluatorParams - Interface in opennlp.tools.cmdline.params: Common evaluation parameters.
FINISHED - Static variable in interface opennlp.tools.monitoring.StopCriteria
finishedIteration(int, int, int, TrainingMeasure, double) - Method in interface opennlp.tools.monitoring.TrainingProgressMonitor: Captures the Iteration progress.
finishedTraining(int, StopCriteria) - Method in interface opennlp.tools.monitoring.TrainingProgressMonitor: Captures the training completion progress.
fixPossesives(Parse) - Static method in class opennlp.tools.parser.Parse
FLOAT - Enum constant in enum class opennlp.tools.util.wordvector.WordVectorType
FMeasure - Class in opennlp.tools.util.eval: The FMeasure is a utility class for evaluators which measures precision, recall and the resulting f-measure.
FMeasure() - Constructor for class opennlp.tools.util.eval.FMeasure
fromAlgorithmType(String) - Static method in enum class opennlp.tools.ml.AlgorithmType
fromModelType(String) - Static method in enum class opennlp.tools.ml.AlgorithmType

G

GapLabeler - Interface in opennlp.tools.parser: Represents a labeler for nodes which contain traces so that these traces can be predicted by a Parser.
get(String) - Method in interface opennlp.tools.util.wordvector.WordVectorTable
getAdditionalContext() - Method in class opennlp.tools.namefind.NameSample
getAdditionalContext() - Method in class opennlp.tools.postag.POSSample
getAlgorithmType() - Method in enum class opennlp.tools.ml.AlgorithmType
getAllOutcomes(double[]) - Method in interface opennlp.tools.ml.model.MaxentModel: Retrieves a string matching all the outcome names with all the probabilities produced by the MaxentModel.eval(String[]) method.
getAllResults(double[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer: Retrieves the name of the category associated with the given probabilities.
getArtifact(String) - Method in interface opennlp.tools.util.model.ArtifactProvider
getArtifactSerializerClass() - Method in interface opennlp.tools.util.model.SerializableArtifact: Retrieves the class which can serialize and recreate this artifact.
getAsDouble(int) - Method in interface opennlp.tools.util.wordvector.WordVector
getAsFloat(int) - Method in interface opennlp.tools.util.wordvector.WordVector
getBestCategory(double[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer: Retrieves the best category from previously generated outcome probabilities
getBestOutcome(double[]) - Method in interface opennlp.tools.ml.model.MaxentModel: Retrieves the outcome associated with the index containing the highest probability in the double[].
getBooleanParameter(String, boolean) - Method in interface opennlp.tools.util.Parameters: Obtains a training parameter value.
getBooleanParameter(String, String, boolean) - Method in interface opennlp.tools.util.Parameters: Obtains a training parameter value in the specified namespace.
getCategory() - Method in class opennlp.tools.doccat.DocumentSample
getCategory(int) - Method in interface opennlp.tools.doccat.DocumentCategorizer: Retrieves the category at a given index.
getChildCount() - Method in class opennlp.tools.parser.Parse
getChildren() - Method in class opennlp.tools.parser.Parse
getCode() - Method in exception class opennlp.tools.cmdline.TerminateToolException
getCommonParent(Parse) - Method in class opennlp.tools.parser.Parse: Returns the deepest shared parent of this node and the specified node.
getConfidence() - Method in class opennlp.tools.langdetect.Language
getContext() - Method in class opennlp.tools.ml.model.Event
getContext(int, String[], String[], Object[]) - Method in interface opennlp.tools.postag.POSContextGenerator: Returns the context for making a postag decision at the specified token index given the specified tokens and previous tags.
getContext(int, String[], String[], String[]) - Method in interface opennlp.tools.chunker.ChunkerContextGenerator: Retrieves the contexts for chunking of the specified idx.
getContext(int, String[], String[], String[]) - Method in interface opennlp.tools.lemmatizer.LemmatizerContextGenerator: Returns the contexts for lemmatizing of 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).
getContext(CharSequence) - Method in interface opennlp.tools.langdetect.LanguageDetectorContextGenerator: Retrieves the contexts for a document using character ngrams.
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 interface opennlp.tools.tokenize.TokenContextGenerator
getContexts() - Method in interface opennlp.tools.ml.model.DataIndexer
getCoveredText() - Method in class opennlp.tools.parser.Parse
getCoveredText(CharSequence) - Method in class opennlp.tools.util.Span
getData() - Method in interface opennlp.tools.cmdline.params.BasicFormatParams
getDataType() - Method in interface opennlp.tools.util.wordvector.WordVector
getDerivation() - Method in class opennlp.tools.parser.Parse
getDetokenizer() - Method in interface opennlp.tools.cmdline.params.DetokenizerParameter
getDocument() - Method in class opennlp.tools.sentdetect.SentenceSample
getDoubleParameter(String, double) - Method in interface opennlp.tools.util.Parameters: Obtains a training parameter value.
getDoubleParameter(String, String, double) - Method in interface opennlp.tools.util.Parameters: Obtains a training parameter value in the specified namespace.
getEncoding() - Method in interface opennlp.tools.cmdline.params.EncodingParameter
getEnd() - Method in class opennlp.tools.util.Span: Note: that the returned index is one past the actual end of the span in the text, or the first element past the end of the span.
getEOSCharacters() - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner
getEvents() - Method in class opennlp.tools.ml.model.Sequence
getExtraInformation() - Method in class opennlp.tools.doccat.DocumentSample
getFMeasure() - Method in class opennlp.tools.util.eval.FMeasure: f-measure = 2 * precision * recall / (precision + recall).
getFolds() - Method in interface opennlp.tools.cmdline.params.CVParams
getHead() - Method in class opennlp.tools.parser.Parse
getHead(Parse[], String) - Method in interface opennlp.tools.parser.HeadRules: Retrieves the head constituent for the specified constituents of given type.
getHeadIndex() - Method in class opennlp.tools.parser.Parse
getId() - Method in class opennlp.tools.namefind.NameSample
getIndex(String) - Method in interface opennlp.tools.doccat.DocumentCategorizer: Retrieves the index of a certain category.
getIndex(String) - Method in interface opennlp.tools.ml.model.MaxentModel: Retrieves the index associated with the String name of the given outcome.
getIntParameter(String, int) - Method in interface opennlp.tools.util.Parameters: Obtains a training parameter value.
getIntParameter(String, String, int) - Method in interface opennlp.tools.util.Parameters: Obtains a training parameter value in the specified namespace.
getItemID() - Method in class opennlp.tools.entitylinker.BaseLink
getItemName() - Method in class opennlp.tools.entitylinker.BaseLink
getItemParentID() - Method in class opennlp.tools.entitylinker.BaseLink
getItemType() - Method in class opennlp.tools.entitylinker.BaseLink
getKey(String, String) - Static method in interface opennlp.tools.util.Parameters
getLabel() - Method in class opennlp.tools.parser.Constituent: Returns the label of the constituent.
getLabel() - Method in class opennlp.tools.parser.Parse: Retrieves 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.langdetect.Language
getLanguage() - Method in interface opennlp.tools.util.model.ArtifactProvider
getLemmas() - Method in class opennlp.tools.lemmatizer.LemmaSample
getLinkedEntries() - Method in class opennlp.tools.entitylinker.LinkedSpan
getManifestProperty(String) - Method in interface opennlp.tools.util.model.ArtifactProvider
getMaxTokenLength() - Method in class opennlp.tools.tokenize.WordpieceTokenizer
getMeasureName() - Method in enum class opennlp.tools.monitoring.TrainingMeasure
getMessage() - Method in exception class opennlp.tools.cmdline.TerminateToolException
getMessageIfSatisfied() - Method in interface opennlp.tools.monitoring.StopCriteria
getMisclassified() - Method in interface opennlp.tools.cmdline.params.CVParams
getMisclassified() - Method in interface opennlp.tools.cmdline.params.EvaluatorParams
getModel() - Method in interface opennlp.tools.cmdline.params.EvaluatorParams
getModel() - Method in interface opennlp.tools.cmdline.params.TrainingToolParams
getModelType() - Method in enum class opennlp.tools.ml.AlgorithmType
getName() - Method in enum class opennlp.tools.models.ModelType
getNames() - Method in class opennlp.tools.namefind.NameSample
getNextPunctuationSet() - Method in class opennlp.tools.parser.Parse
getNumberOfCategories() - Method in interface opennlp.tools.doccat.DocumentCategorizer: Retrieves the number of categories.
getNumEvents() - Method in interface opennlp.tools.ml.model.DataIndexer
getNumOutcomes() - Method in interface opennlp.tools.ml.model.MaxentModel
getNumTimesEventsSeen() - Method in interface opennlp.tools.ml.model.DataIndexer
getObjectSettings() - Method in interface opennlp.tools.util.Parameters
getObjectSettings(String) - Method in interface opennlp.tools.util.Parameters
getOutcome() - Method in class opennlp.tools.ml.model.Event
getOutcome(int) - Method in interface opennlp.tools.ml.model.MaxentModel: Retrieves the String name of the outcome associated with the index i.
getOutcome(int) - Method in class opennlp.tools.util.Sequence
getOutcomeLabels() - Method in interface opennlp.tools.ml.model.DataIndexer
getOutcomeList() - Method in interface opennlp.tools.ml.model.DataIndexer
getOutcomes() - Method in class opennlp.tools.ml.model.Context
getOutcomes() - Method in interface opennlp.tools.ml.model.SequenceClassificationModel
getOutcomes() - Method in class opennlp.tools.util.Sequence
getParameters() - Method in interface opennlp.tools.cmdline.ObjectStreamFactory
getParameters() - Method in class opennlp.tools.ml.model.Context
getParams() - Method in interface opennlp.tools.cmdline.params.BasicTrainingParams
getParent() - Method in class opennlp.tools.parser.Parse
getPhrasesAsSpanList() - Method in class opennlp.tools.chunker.ChunkSample
getPositions(char[]) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner: The receiver scans cbuf for sentence ending characters and returns their offsets.
getPositions(CharSequence) - 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.
getPrecisionScore() - Method in class opennlp.tools.util.eval.FMeasure
getPredCounts() - Method in interface opennlp.tools.ml.model.DataIndexer
getPredLabels() - Method in interface opennlp.tools.ml.model.DataIndexer
getPreds() - Method in class opennlp.tools.chunker.ChunkSample
getPreviousPunctuationSet() - Method in class opennlp.tools.parser.Parse
getProb() - Method in class opennlp.tools.parser.Parse
getProb() - Method in class opennlp.tools.util.Span
getProb(int) - Method in class opennlp.tools.util.Sequence
getProbs() - Method in class opennlp.tools.util.Sequence
getProbs(double[]) - Method in class opennlp.tools.util.Sequence: Populates an array with the probabilities associated with the Sequence outcomes.
getProperty(String, String) - Method in class opennlp.tools.entitylinker.EntityLinkerProperties: Retrieves a property value for a given key.
getPunctuationTags() - Method in interface opennlp.tools.parser.HeadRules
getReaderClazz() - Method in enum class opennlp.tools.ml.AlgorithmType
getRecallScore() - Method in class opennlp.tools.util.eval.FMeasure
getReportOutputFile() - Method in interface opennlp.tools.cmdline.params.FineGrainedEvaluatorParams
getResource(String) - Method in interface opennlp.tools.util.featuregen.FeatureGeneratorResourceProvider
getScore() - Method in class opennlp.tools.util.Sequence
getScoreMap() - Method in class opennlp.tools.entitylinker.BaseLink
getSearchTerm() - Method in class opennlp.tools.entitylinker.LinkedSpan
getSentence() - Method in class opennlp.tools.chunker.ChunkSample
getSentence() - Method in class opennlp.tools.namefind.NameSample
getSentence() - Method in class opennlp.tools.postag.POSSample
getSentence() - Method in class opennlp.tools.sentiment.SentimentSample
getSentenceid() - Method in class opennlp.tools.entitylinker.LinkedSpan
getSentences() - Method in class opennlp.tools.sentdetect.SentenceSample
getSentiment() - Method in class opennlp.tools.sentiment.SentimentSample
getShortestEditScript(String, String) - Static method in class opennlp.tools.util.StringUtil
getSize() - Method in class opennlp.tools.util.Sequence
getSource() - Method in class opennlp.tools.ml.model.Sequence: This object is used when the events for this sequence need to be re-derived such as in a call to SequenceStream.updateContext(Sequence, AbstractModel).
getSpan() - Method in class opennlp.tools.parser.Constituent: Returns the span of the constituent.
getSpan() - Method in class opennlp.tools.parser.Parse
getStart() - Method in class opennlp.tools.util.Span
getStringParameter(String, String) - Method in interface opennlp.tools.util.Parameters: Obtains a training parameter value.
getStringParameter(String, String, String) - Method in interface opennlp.tools.util.Parameters: Obtains a training parameter value in the specified namespace.
getSupportedLanguages() - Method in interface opennlp.tools.langdetect.LanguageDetector
getTagNodes() - Method in class opennlp.tools.parser.Parse
getTags() - Method in class opennlp.tools.chunker.ChunkSample
getTags() - Method in class opennlp.tools.lemmatizer.LemmaSample
getTags() - Method in class opennlp.tools.postag.POSSample
getTags(String) - Method in interface opennlp.tools.postag.TagDictionary: Retrieves a list of valid tags for the specified word.
getTagSequenceProb() - Method in class opennlp.tools.parser.Parse
getText() - Method in class opennlp.tools.doccat.DocumentSample
getText() - Method in class opennlp.tools.parser.Parse
getText() - Method in class opennlp.tools.tokenize.TokenSample
getTokenNodes() - Method in class opennlp.tools.parser.Parse
getTokens() - Method in class opennlp.tools.lemmatizer.LemmaSample
getTokenSpans() - Method in class opennlp.tools.tokenize.TokenSample
getTrainerClazz() - Method in enum class opennlp.tools.ml.AlgorithmType
getType() - Method in class opennlp.tools.parser.Parse
getType() - Method in class opennlp.tools.util.Span
getValues() - Method in interface opennlp.tools.ml.model.DataIndexer
getValues() - Method in class opennlp.tools.ml.model.Event
getWriterClazz() - Method in enum class opennlp.tools.ml.AlgorithmType

H

hashCode() - Method in class opennlp.tools.chunker.ChunkSample
hashCode() - Method in class opennlp.tools.doccat.DocumentSample
hashCode() - Method in class opennlp.tools.entitylinker.BaseLink
hashCode() - Method in class opennlp.tools.entitylinker.LinkedSpan
hashCode() - Method in class opennlp.tools.langdetect.Language
hashCode() - Method in record class opennlp.tools.langdetect.LanguageSample: Returns a hash code value for this object.
hashCode() - Method in class opennlp.tools.lemmatizer.LemmaSample
hashCode() - Method in class opennlp.tools.ml.model.Context
hashCode() - Method in record class opennlp.tools.models.ClassPathModelEntry: Returns a hash code value for this object.
hashCode() - Method in class opennlp.tools.namefind.NameSample
hashCode() - Method in class opennlp.tools.parser.Parse
hashCode() - Method in class opennlp.tools.postag.POSSample
hashCode() - Method in class opennlp.tools.sentdetect.SentenceSample
hashCode() - Method in class opennlp.tools.sentiment.SentimentSample
hashCode() - Method in class opennlp.tools.tokenize.TokenSample
hashCode() - Method in class opennlp.tools.util.Sequence
hashCode() - Method in class opennlp.tools.util.Span
hashCode() - Method in record class opennlp.tools.util.TokenTag: Returns a hash code value for this object.
hashCode() - Method in record class opennlp.tools.util.TrainingConfiguration: Returns a hash code value for this object.
hasNext() - Method in class opennlp.tools.util.ReverseListIterator
HeadRules - Interface in opennlp.tools.parser: Encoder for head rules associated with parsing.

I

ID - Static variable in class opennlp.tools.util.ext.ExtensionServiceKeys: Property key for the unique id which identifies an OpenNLP extension service.
INC_NODE - Static variable in interface opennlp.tools.parser.Parser: The label for the top if an incomplete node.
index(ObjectStream) - Method in interface opennlp.tools.ml.model.DataIndexer: Performs the data indexing.
indexOf(Parse) - Method in class opennlp.tools.parser.Parse
init(EntityLinkerProperties) - Method in interface opennlp.tools.entitylinker.EntityLinker: Initializes an EntityLinker and allows for passing properties through an EntityLinkerFactory into all impls dynamically.
init(P, Map) - Method in interface opennlp.tools.commons.Trainer: Conducts the initialization of an Trainer via Parameters and a report map.
init(P, Map) - Method in interface opennlp.tools.ml.model.DataIndexer: Sets parameters used during the data indexing.
init(P, Map, TrainingConfiguration) - Method in interface opennlp.tools.commons.Trainer: Conducts the initialization of a Trainer via Parameters, report map and TrainingConfiguration
innerProduct(double[], double[]) - Static method in class opennlp.tools.ml.ArrayMath
InputStreamFactory - Interface in opennlp.tools.util: Allows repeated reads through a stream for certain model building types.
insert(Parse) - Method in class opennlp.tools.parser.Parse: Inserts the specified constituent into this parse based on its text span.
INSTANCE - Static variable in class opennlp.tools.tokenize.WhitespaceTokenizer: Use this static reference to retrieve an instance of the WhitespaceTokenizer.
instantiateExtension(Class, String) - Static method in class opennlp.tools.util.ext.ExtensionLoader: Instantiates a user provided extension to OpenNLP.
InsufficientTrainingDataException - Exception Class in opennlp.tools.util: This exception indicates that the provided training data is insufficient to train a desired model.
InsufficientTrainingDataException(String) - Constructor for exception class opennlp.tools.util.InsufficientTrainingDataException
InsufficientTrainingDataException(String, Throwable) - Constructor for exception class opennlp.tools.util.InsufficientTrainingDataException
InsufficientTrainingDataException(Throwable) - Constructor for exception class opennlp.tools.util.InsufficientTrainingDataException
intern(String) - Method in interface opennlp.tools.util.jvm.StringInterner: Interns and returns a reference to the representative instance for any collection of string instances that are equal to each other.
Internal - Annotation Interface in opennlp.tools.commons: Classes, fields, or methods annotated @Internal are for OpenNLP internal use only.
intersects(Span) - Method in class opennlp.tools.util.Span: Checks if the specified Span intersects with this span.
InvalidFormatException - Exception Class in opennlp.tools.util: This exception indicates that a resource violates the expected data format.
InvalidFormatException(String) - Constructor for exception class opennlp.tools.util.InvalidFormatException
InvalidFormatException(String, Throwable) - Constructor for exception class opennlp.tools.util.InvalidFormatException
InvalidFormatException(Throwable) - Constructor for exception class opennlp.tools.util.InvalidFormatException
invL2norm(double[]) - Static method in class opennlp.tools.ml.ArrayMath: Computes the Inverse L2-norm for a vector v.
isCaseSensitive() - Method in interface opennlp.tools.postag.TagDictionary: Whether the dictionary is case-sensitive or not.
isChunk() - Method in class opennlp.tools.parser.Parse
isChunk(boolean) - Method in class opennlp.tools.parser.Parse
isClearAdaptiveDataSet() - Method in class opennlp.tools.namefind.NameSample
isClearAdaptiveDataSet() - Method in class opennlp.tools.sentiment.SentimentSample
isEmpty(CharSequence) - Static method in class opennlp.tools.util.StringUtil
isFlat() - Method in class opennlp.tools.parser.Parse: Indicates whether this parse node contains no sub-constituents.
isLoadedFromSerialized() - Method in interface opennlp.tools.util.model.ArtifactProvider: Indicates if this provider was loaded from a serialized form.
isPosTag() - Method in class opennlp.tools.parser.Parse: Indicates whether this parse node is a pos-tag.
isTrainingFinished() - Method in interface opennlp.tools.monitoring.TrainingProgressMonitor: Checks whether the training has finished.
isValid(String) - Static method in class opennlp.tools.util.LanguageCodeValidator: Checks whether the given language code is a valid ISO 639 code.
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_DEFAULT_VALUE - Static variable in interface opennlp.tools.util.Parameters: The default number of iterations is 100.
ITERATIONS_PARAM - Static variable in interface opennlp.tools.util.Parameters

L

l1norm(double[]) - Static method in class opennlp.tools.ml.ArrayMath: Computes the L1-norm for a vector v.
l2norm(double[]) - Static method in class opennlp.tools.ml.ArrayMath: Computes the L2-norm for a vector v.
labelGaps(Stack) - Method in interface opennlp.tools.parser.GapLabeler: Labels constituents found in the stack with gap labels if appropriate.
language() - Method in record class opennlp.tools.langdetect.LanguageSample: Returns the value of the language record component.
Language - Class in opennlp.tools.langdetect: Class for holding the document language and its confidence
Language(String) - Constructor for class opennlp.tools.langdetect.Language
Language(String, double) - Constructor for class opennlp.tools.langdetect.Language
LanguageCodeValidator - Class in opennlp.tools.util: Validates language codes against ISO 639 standards.
LanguageDetector - Interface in opennlp.tools.langdetect: The interface for LanguageDetector which predicts the Language for a context.
LanguageDetectorContextGenerator - Interface in opennlp.tools.langdetect: A context generator interface for LanguageDetector.
LanguageDetectorEvaluationMonitor - Interface in opennlp.tools.langdetect: A marker interface for evaluating language detectors.
LanguageModel - Interface in opennlp.tools.languagemodel: A language model can calculate the probability p (between 0 and 1) of a certain sequence of tokens, given its underlying vocabulary.
LanguageParams - Interface in opennlp.tools.cmdline.params
LanguageSample - Record Class in opennlp.tools.langdetect: Holds a classified document and its Language.
LanguageSample(Language, CharSequence) - Constructor for record class opennlp.tools.langdetect.LanguageSample: Creates an instance of a LanguageSample record class.
LemmaSample - Class in opennlp.tools.lemmatizer: Represents a lemmatized sentence.
LemmaSample(String[], String[], String[]) - Constructor for class opennlp.tools.lemmatizer.LemmaSample: Initializes a LemmaSample instance with the given parameters.
LemmaSample(List, List, List) - Constructor for class opennlp.tools.lemmatizer.LemmaSample: Initializes a LemmaSample instance with the given parameters.
lemmatize(String[], String[]) - Method in interface opennlp.tools.lemmatizer.Lemmatizer: Generates lemmas for the word and postag.
lemmatize(List, List) - Method in interface opennlp.tools.lemmatizer.Lemmatizer: Generates lemma tags for the word and postag.
Lemmatizer - Interface in opennlp.tools.lemmatizer: The common interface for lemmatizers.
LEMMATIZER - Enum constant in enum class opennlp.tools.models.ModelType
LemmatizerContextGenerator - Interface in opennlp.tools.lemmatizer: Interface for the context generator used for probabilistic Lemmatizer.
LemmatizerEvaluationMonitor - Interface in opennlp.tools.lemmatizer: A marker interface for evaluating lemmatizers.
length() - Method in class opennlp.tools.util.Span
levenshteinDistance(String, String) - Static method in class opennlp.tools.util.StringUtil: Computes the Levenshtein distance of two strings in a matrix.
LinkedSpan<T> - Class in opennlp.tools.entitylinker: A default, extended Span that holds additional information about a Span.
LinkedSpan(ArrayList, int, int) - Constructor for class opennlp.tools.entitylinker.LinkedSpan: Initializes a new LinkedSpan.
LinkedSpan(ArrayList, int, int, String) - Constructor for class opennlp.tools.entitylinker.LinkedSpan: Initializes a new LinkedSpan.
LinkedSpan(ArrayList, int, int, String, double) - Constructor for class opennlp.tools.entitylinker.LinkedSpan: Initializes a new LinkedSpan.
LinkedSpan(ArrayList, Span, int) - Constructor for class opennlp.tools.entitylinker.LinkedSpan: Initializes a new LinkedSpan via an existing Span which is shifted by the specified offset.
LOG_LIKELIHOOD - Enum constant in enum class opennlp.tools.monitoring.TrainingMeasure
logPrior(double[], int[]) - Method in interface opennlp.tools.ml.model.Prior: Populates the specified array with the log of the distribution for the specified context.
logPrior(double[], int[], float[]) - Method in interface opennlp.tools.ml.model.Prior: Populates the specified array with the log of the distribution for the specified context.
logPrior(double[], Context[], float[]) - Method in interface opennlp.tools.ml.model.Prior: Populates the specified array with the log of the distribution for the specified context.
logSumOfExps(double[]) - Static method in class opennlp.tools.ml.ArrayMath: Computes \log(\sum_{i=1}^n e^{x_i}) using a maximum-element trick to avoid arithmetic overflow.

M

max(double[]) - Static method in class opennlp.tools.ml.ArrayMath: Finds the maximum element in a vector x.
MAXENT - Enum constant in enum class opennlp.tools.ml.AlgorithmType
MAXENT - Enum constant in enum class opennlp.tools.util.model.ModelType
MAXENT_QN - Enum constant in enum class opennlp.tools.ml.AlgorithmType
MaxentModel - Interface in opennlp.tools.ml.model: Interface for maximum entropy models.
mean() - Method in class opennlp.tools.util.eval.Mean
Mean - Class in opennlp.tools.util.eval: Calculates the arithmetic mean of values added with the Mean.add(double) method.
Mean() - Constructor for class opennlp.tools.util.eval.Mean
MERGE_BOTH - Enum constant in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation: The current token should be attached to the string on the left side, as well as to the start token on the right side.
MERGE_TO_LEFT - Enum constant in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation: The current token should be attached to the string on the left side.
MERGE_TO_RIGHT - Enum constant in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation: The current token should be attached to the start token on the right side.
mergeInto(FMeasure) - Method in class opennlp.tools.util.eval.FMeasure: Merge results into metric.
misclassified(T, T) - Method in interface opennlp.tools.util.eval.EvaluationMonitor
model() - Method in record class opennlp.tools.models.ClassPathModelEntry: Returns the value of the model record component.
ModelType - Enum Class in opennlp.tools.models: A model type to pattern enumeration.
ModelType - Enum Class in opennlp.tools.util.model: Enumeration of supported model types.
MutableTagDictionary - Interface in opennlp.tools.postag: Interface that allows TagDictionary entries to be added and removed.

N

NAIVE_BAYES - Enum constant in enum class opennlp.tools.ml.AlgorithmType
NAME_FINDER - Enum constant in enum class opennlp.tools.models.ModelType
NameContextGenerator - Interface in opennlp.tools.namefind: Interface for generating the context for a name finder by specifying a set of feature generators.
NameSample - Class in opennlp.tools.namefind: Encapsulates names for a single unit of text.
NameSample(String[], Span[], boolean) - Constructor for class opennlp.tools.namefind.NameSample: Initializes a NameSample instance with given parameters.
NameSample(String[], Span[], String[][], boolean) - Constructor for class opennlp.tools.namefind.NameSample: Initializes a NameSample instance with given parameters.
NameSample(String, String[], Span[], String[][], boolean) - Constructor for class opennlp.tools.namefind.NameSample: Initializes a NameSample instance with given parameters.
next() - Method in class opennlp.tools.util.ReverseListIterator
nicePrint() - Method in class opennlp.tools.chunker.ChunkSample: Creates a nice to read string for the phrases formatted as following:
[NP Rockwell_NNP ] [VP said_VBD ] [NP the_DT agreement_NN ] [VP calls_VBZ ] [SBAR for_IN ] [NP it_PRP ] [VP to_TO supply_VB ] [NP 200_CD additional_JJ so-called_JJ shipsets_NNS ] [PP for_IN ] [NP the_DT planes_NNS ] ._.
NO_OPERATION - Enum constant in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation: Do not perform a merge operation for this token, but is possible that another token can be attached to the left or right side of this one.
normalize(CharSequence) - Method in interface opennlp.tools.util.normalizer.CharSequenceNormalizer: Normalizes a sequence of characters.

O

ObjectStream<T> - Interface in opennlp.tools.util: Reads objects from a stream.
ObjectStreamFactory<T,P> - Interface in opennlp.tools.cmdline
ObjectStreamUtils - Class in opennlp.tools.util
ObjectStreamUtils() - Constructor for class opennlp.tools.util.ObjectStreamUtils
OPENNLP_MODEL_JAR_PREFIX - Static variable in interface opennlp.tools.models.ClassPathModelFinder
opennlp.tools.chunker - package opennlp.tools.chunker
opennlp.tools.cmdline - package opennlp.tools.cmdline
opennlp.tools.cmdline.params - package opennlp.tools.cmdline.params
opennlp.tools.commons - package opennlp.tools.commons
opennlp.tools.doccat - package opennlp.tools.doccat
opennlp.tools.entitylinker - package opennlp.tools.entitylinker
opennlp.tools.langdetect - package opennlp.tools.langdetect
opennlp.tools.languagemodel - package opennlp.tools.languagemodel
opennlp.tools.lemmatizer - package opennlp.tools.lemmatizer
opennlp.tools.ml - package opennlp.tools.ml
opennlp.tools.ml.model - package opennlp.tools.ml.model
opennlp.tools.models - package opennlp.tools.models
opennlp.tools.monitoring - package opennlp.tools.monitoring
opennlp.tools.namefind - package opennlp.tools.namefind
opennlp.tools.parser - package opennlp.tools.parser
opennlp.tools.postag - package opennlp.tools.postag
opennlp.tools.sentdetect - package opennlp.tools.sentdetect
opennlp.tools.sentiment - package opennlp.tools.sentiment
opennlp.tools.stemmer - package opennlp.tools.stemmer
opennlp.tools.tokenize - package opennlp.tools.tokenize
opennlp.tools.util - package opennlp.tools.util
opennlp.tools.util.eval - package opennlp.tools.util.eval
opennlp.tools.util.ext - package opennlp.tools.util.ext
opennlp.tools.util.featuregen - package opennlp.tools.util.featuregen
opennlp.tools.util.java - package opennlp.tools.util.java
opennlp.tools.util.jvm - package opennlp.tools.util.jvm
opennlp.tools.util.model - package opennlp.tools.util.model
opennlp.tools.util.normalizer - package opennlp.tools.util.normalizer
opennlp.tools.util.wordvector - package opennlp.tools.util.wordvector

P

Parameters - Interface in opennlp.tools.util
parse(String) - Static method in enum class opennlp.tools.parser.ParserType
parse(String) - Static method in class opennlp.tools.postag.POSSample: Parses a sentenceString.
parse(String[], Class) - Static method in class opennlp.tools.cmdline.ArgumentParser: Parses the passed arguments and creates an instance of the proxy interface.
parse(String, boolean) - Static method in class opennlp.tools.namefind.NameSample: Parses given input into a NameSample.
parse(String, String) - Static method in class opennlp.tools.tokenize.TokenSample: Parses a string sample.
parse(String, String, boolean) - Static method in class opennlp.tools.namefind.NameSample: Parses given input into a NameSample.
parse(Parse) - Method in interface opennlp.tools.parser.Parser: Returns a Parse for the specified Parse of tokens.
parse(Parse, int) - Method in interface opennlp.tools.parser.Parser: Returns the specified number of parses or fewer for the specified tokens.
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: Initializes a node for this specified text and span of the specified type with probability p and the head index.
Parse(String, Span, String, double, Parse) - Constructor for class opennlp.tools.parser.Parse: Initializes a node for this specified text and span of the specified type with probability p and the head index.
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 - Interface in opennlp.tools.parser: Defines common methods for full-syntactic parsers.
PARSER - Enum constant in enum class opennlp.tools.models.ModelType
ParserEvaluationMonitor - Interface in opennlp.tools.parser: A marker interface for evaluating parsers.
ParserEventTypeEnum - Enum Class in opennlp.tools.parser: Enumeration of event types for a Parser.
ParserType - Enum Class in opennlp.tools.parser: Enumeration of supported Parser types.
PERCEPTRON - Enum constant in enum class opennlp.tools.ml.AlgorithmType
PERCEPTRON - Enum constant in enum class opennlp.tools.util.model.ModelType
PERCEPTRON_SEQUENCE - Enum constant in enum class opennlp.tools.ml.AlgorithmType
PERCEPTRON_SEQUENCE - Enum constant in enum class opennlp.tools.util.model.ModelType
phrasesAsSpanList(String[], String[], String[]) - Static method in class opennlp.tools.chunker.ChunkSample: Create arrays of spans of phrases.
PlainTextByLineStream - Class in opennlp.tools.util: Reads a plain text file and returns each line as a String object.
PlainTextByLineStream(InputStreamFactory, String) - Constructor for class opennlp.tools.util.PlainTextByLineStream: Initializes a PlainTextByLineStream.
PlainTextByLineStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.util.PlainTextByLineStream: Initializes a PlainTextByLineStream.
POS - Enum constant in enum class opennlp.tools.models.ModelType
POS_GENERIC - Enum constant in enum class opennlp.tools.models.ModelType
POSContextGenerator - Interface in opennlp.tools.postag: Interface for a BeamSearchContextGenerator used in POS tagging.
POSSample - Class in opennlp.tools.postag: Represents an pos-tagged sentence.
POSSample(String[], String[]) - Constructor for class opennlp.tools.postag.POSSample: Initializes a POSSample instance.
POSSample(String[], String[], String[][]) - Constructor for class opennlp.tools.postag.POSSample: Initializes a POSSample instance.
POSSample(List, List) - Constructor for class opennlp.tools.postag.POSSample: Initializes a POSSample instance.
POSSample(List, List, String[][]) - Constructor for class opennlp.tools.postag.POSSample: Initializes a POSSample instance.
POSTagger - Interface in opennlp.tools.postag: The interface for part of speech taggers.
POSTaggerEvaluationMonitor - Interface in opennlp.tools.postag: A marker interface for evaluating pos taggers.
precision(Object[], Object[]) - Static method in class opennlp.tools.util.eval.FMeasure: Calculates the precision score for the given reference and predicted spans.
predict(String) - Method in interface opennlp.tools.sentiment.SentimentDetector: Conducts a sentiment prediction for the specifed sentence.
predict(String[]) - Method in interface opennlp.tools.sentiment.SentimentDetector: Conducts a sentiment prediction for the specifed sentence.
predictLanguage(CharSequence) - Method in interface opennlp.tools.langdetect.LanguageDetector: Predicts the Language for the full content length.
predictLanguages(CharSequence) - Method in interface opennlp.tools.langdetect.LanguageDetector: Predicts the languages for the full content length.
predictNextTokens(String...) - Method in interface opennlp.tools.languagemodel.LanguageModel: Predict the most probable output sequence of tokens, given an input sequence of tokens.
Prior - Interface in opennlp.tools.ml.model: This interface allows one to implement a prior distribution for use in maximum entropy model training.
Probabilistic - Interface in opennlp.tools.ml: A marker interface for classes with probabilistic capabilities.
probs() - Method in interface opennlp.tools.ml.Probabilistic: Retrieves the probabilities of the last decoded sequence.
progMon() - Method in record class opennlp.tools.util.TrainingConfiguration: Returns the value of the progMon record component.
properties() - Method in record class opennlp.tools.models.ClassPathModelEntry: Returns the value of the properties record component.
pruneParse(Parse) - Static method in class opennlp.tools.parser.Parse: Prune the specified sentence parse of vacuous productions.
put(String, boolean) - Method in interface opennlp.tools.util.Parameters: Puts a value into the current Parameters under a certain key.
put(String, double) - Method in interface opennlp.tools.util.Parameters: Puts a value into the current Parameters under a certain key.
put(String, int) - Method in interface opennlp.tools.util.Parameters: Puts a value into the current Parameters under a certain key.
put(String, String) - Method in interface opennlp.tools.util.Parameters: Puts a value into the current Parameters under a certain key.
put(String, String...) - Method in interface opennlp.tools.postag.MutableTagDictionary: Associates the specified tags with the specified word.
put(String, String, boolean) - Method in interface opennlp.tools.util.Parameters: Puts a value into the current Parameters under a certain key.
put(String, String, double) - Method in interface opennlp.tools.util.Parameters: Puts a value into the current Parameters under a certain key.
put(String, String, int) - Method in interface opennlp.tools.util.Parameters: Puts a value into the current Parameters under a certain key.
put(String, String, String) - Method in interface opennlp.tools.util.Parameters: Puts a value into the current Parameters under a certain key.
putIfAbsent(String, boolean) - Method in interface opennlp.tools.util.Parameters: Puts a value into the current Parameters under a certain key, if the value was not present before.
putIfAbsent(String, double) - Method in interface opennlp.tools.util.Parameters: Puts a value into the current Parameters under a certain key, if the value was not present before.
putIfAbsent(String, int) - Method in interface opennlp.tools.util.Parameters: Puts a value into the current Parameters under a certain key, if the value was not present before.
putIfAbsent(String, String) - Method in interface opennlp.tools.util.Parameters: Puts a value into the current Parameters under a certain key, if the value was not present before.
putIfAbsent(String, String, boolean) - Method in interface opennlp.tools.util.Parameters: Puts a value into the current Parameters under a certain key, if the value was not present before.
putIfAbsent(String, String, double) - Method in interface opennlp.tools.util.Parameters: Puts a value into the current Parameters under a certain key, if the value was not present before.
putIfAbsent(String, String, int) - Method in interface opennlp.tools.util.Parameters: Puts a value into the current Parameters under a certain key, if the value was not present before.
putIfAbsent(String, String, String) - Method in interface opennlp.tools.util.Parameters: Puts a value into the current Parameters under a certain key, if the value was not present before.

R

read() - Method in class opennlp.tools.util.AbstractObjectStream
read() - Method in interface opennlp.tools.util.ObjectStream: Returns the next T object.
read() - Method in class opennlp.tools.util.PlainTextByLineStream
readDouble() - Method in interface opennlp.tools.ml.model.DataReader
readInt() - Method in interface opennlp.tools.ml.model.DataReader
readUTF() - Method in interface opennlp.tools.ml.model.DataReader
recall(Object[], Object[]) - Static method in class opennlp.tools.util.eval.FMeasure: Calculates the recall score for the given reference and predicted spans.
remove() - Method in class opennlp.tools.util.ReverseListIterator
remove(int) - Method in class opennlp.tools.parser.Parse
reset() - Method in class opennlp.tools.util.AbstractObjectStream
reset() - Method in interface opennlp.tools.util.ObjectStream: Repositions the stream at the beginning and the previously seen object sequence will be repeated exactly.
reset() - Method in class opennlp.tools.util.PlainTextByLineStream
reset() - Method in interface opennlp.tools.util.ResetableIterator: Sets the Iterator back to the first retrieved element.
ResetableIterator<E> - Interface in opennlp.tools.util: This interface makes an Iterator resettable.
ReverseListIterator<T> - Class in opennlp.tools.util: An iterator for a list which returns values in the opposite order as the typical list iterator.
ReverseListIterator(List) - Constructor for class opennlp.tools.util.ReverseListIterator

S

Sample - Interface in opennlp.tools.commons: Represents a generic type of processable elements.
scoreMap(String[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer: Retrieves a Map in which the key is the category name and the value is the score.
SDContextGenerator - Interface in opennlp.tools.sentdetect: Interface for SentenceDetector context generators.
sentDetect(CharSequence) - Method in interface opennlp.tools.sentdetect.SentenceDetector: Detects sentences in a character sequence.
SENTENCE_DETECTOR - Enum constant in enum class opennlp.tools.models.ModelType
SentenceDetector - Interface in opennlp.tools.sentdetect: The interface for sentence detectors, which find the sentence boundaries in a text.
SentenceDetectorEvaluationMonitor - Interface in opennlp.tools.sentdetect
SentenceSample - Class in opennlp.tools.sentdetect: A SentenceSample contains a document with begin indexes of the individual sentences.
SentenceSample(CharSequence, Span...) - Constructor for class opennlp.tools.sentdetect.SentenceSample: Initializes the current instance.
SentenceSample(Detokenizer, String[][]) - Constructor for class opennlp.tools.sentdetect.SentenceSample
SentimentDetector - Interface in opennlp.tools.sentiment
SentimentEvaluationMonitor - Interface in opennlp.tools.sentiment: An sentiment specific EvaluationMonitor to be used by the evaluator.
SentimentSample - Class in opennlp.tools.sentiment: Class for holding text used for sentiment analysis.
SentimentSample(String, String[]) - Constructor for class opennlp.tools.sentiment.SentimentSample: Instantiates a SentimentSample object.
SentimentSample(String, String[], boolean) - Constructor for class opennlp.tools.sentiment.SentimentSample
sentPosDetect(CharSequence) - Method in interface opennlp.tools.sentdetect.SentenceDetector: Detects sentences in a character sequence.
Sequence<T> - Class in opennlp.tools.ml.model: Class which models a sequence.
Sequence - Class in opennlp.tools.util: Represents a weighted sequence of outcomes.
Sequence() - Constructor for class opennlp.tools.util.Sequence: Initializes a new Sequence of outcomes.
Sequence(List) - Constructor for class opennlp.tools.util.Sequence: Initializes a new Sequence of outcomes from a list of outcomes.
Sequence(Event[], T) - Constructor for class opennlp.tools.ml.model.Sequence: Initializes Sequence made up of the specified events and derived from the specified source.
Sequence(Sequence) - Constructor for class opennlp.tools.util.Sequence: Initializes a new Sequence of outcomes from an existing Sequence.
Sequence(Sequence, String, double) - Constructor for class opennlp.tools.util.Sequence: Initializes a new Sequence of outcomes from an existing Sequence.
SEQUENCE_VALUE - Static variable in interface opennlp.tools.ml.EventModelSequenceTrainer
SEQUENCE_VALUE - Static variable in interface opennlp.tools.ml.SequenceTrainer
SequenceClassificationModel - Interface in opennlp.tools.ml.model: A classification model that can label an input Sequence.
SequenceCodec<T> - Interface in opennlp.tools.util: A codec for sequences of type T.
SequenceStream<S> - Interface in opennlp.tools.ml.model: Interface for streams of sequences used to train sequence models.
SequenceTrainer<P> - Interface in opennlp.tools.ml
SequenceValidator<T> - Interface in opennlp.tools.util
SerializableArtifact - Interface in opennlp.tools.util.model: A marker interface so that implementing classes can refer to the corresponding ArtifactSerializer implementation.
serialize(OutputStream) - Method in interface opennlp.tools.util.Parameters: Serializes a Parameters instance via a specified OutputStream.
serialize(T, OutputStream) - Method in interface opennlp.tools.util.model.ArtifactSerializer: Serializes an artifact to the provided OutputStream.
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.
setDerivation(StringBuffer) - Method in class opennlp.tools.parser.Parse: Specifies the derivation string to be associated with this parse.
setItemID(String) - Method in class opennlp.tools.entitylinker.BaseLink
setItemName(String) - Method in class opennlp.tools.entitylinker.BaseLink
setItemParentID(String) - Method in class opennlp.tools.entitylinker.BaseLink
setItemType(String) - Method in class opennlp.tools.entitylinker.BaseLink
setKeepNewLines(boolean) - Method in class opennlp.tools.tokenize.WhitespaceTokenizer: Switches whether to keep new lines or not.
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.tools.ml.model.Prior: Method to specify the label for the outcomes and contexts.
setLinkedEntries(ArrayList) - Method in class opennlp.tools.entitylinker.LinkedSpan
setNextPunctuation(Collection) - Method in class opennlp.tools.parser.Parse: Sets the punctuation tags which follow this parse.
setParent(Parse) - Method in class opennlp.tools.parser.Parse: Specifies the parent parse node for this constituent.
setPrevPunctuation(Collection) - Method in class opennlp.tools.parser.Parse: Sets the punctuation tags which precede this parse.
setScoreMap(Map) - Method in class opennlp.tools.entitylinker.BaseLink
setSearchTerm(String) - Method in class opennlp.tools.entitylinker.LinkedSpan
setSentenceid(int) - Method in class opennlp.tools.entitylinker.LinkedSpan
setType(String) - Method in class opennlp.tools.parser.Parse: Set the type of this constituent to the specified type.
show() - Method in class opennlp.tools.parser.Parse: Prints this parse using Penn Treebank-style formatting.
show(StringBuffer) - Method in class opennlp.tools.parser.Parse: Fills the specified StringBuffer with a string representation of this parse.
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.
since() - Element in annotation interface opennlp.tools.commons.Internal: The OpenNLP release when an element was first declared internal.
since() - Element in annotation interface opennlp.tools.commons.ThreadSafe: The OpenNLP release when an element was first declared thread-safe.
size() - Method in interface opennlp.tools.util.wordvector.WordVectorTable
sortedScoreMap(String[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer: Retrieves a SortedMap of the scores sorted in ascending order, together with their associated categories.
Span - Class in opennlp.tools.util: Class for storing start and end integer offsets.
Span(int, int) - Constructor for class opennlp.tools.util.Span: Initializes a new Span.
Span(int, int, double) - Constructor for class opennlp.tools.util.Span: Initializes a new Span.
Span(int, int, String) - Constructor for class opennlp.tools.util.Span: Initializes a new Span.
Span(int, int, String, double) - Constructor for class opennlp.tools.util.Span: Initializes a new Span.
Span(Span, double) - Constructor for class opennlp.tools.util.Span: Creates a new immutable Span based on an existing Span, where the existing Span did not include the probability.
Span(Span, int) - Constructor for class opennlp.tools.util.Span: Initializes a new Span with an existing Span which is shifted by an offset.
spansToStrings(Span[], CharSequence) - Static method in class opennlp.tools.util.Span: Converts an array of spans to an array of String.
spansToStrings(Span[], String[]) - Static method in class opennlp.tools.util.Span
START_TAG - Static variable in class opennlp.tools.namefind.NameSample
START_TAG_PREFIX - Static variable in class opennlp.tools.namefind.NameSample
startsWith(Span) - Method in class opennlp.tools.util.Span
stem(CharSequence) - Method in interface opennlp.tools.stemmer.Stemmer
Stemmer - Interface in opennlp.tools.stemmer: The stemmer is reducing a word to its stem.
stopCriteria() - Method in record class opennlp.tools.util.TrainingConfiguration: Returns the value of the stopCriteria record component.
StopCriteria<T> - Interface in opennlp.tools.monitoring: Stop criteria for model training.
StringInterner - Interface in opennlp.tools.util.jvm: A marker-interface for a String interner implementation.
StringUtil - Class in opennlp.tools.util
StringUtil() - Constructor for class opennlp.tools.util.StringUtil
sumFeatures(Context[], float[], double[]) - Static method in class opennlp.tools.ml.ArrayMath

T

tag() - Method in record class opennlp.tools.util.TokenTag: Returns the value of the tag record component.
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: Assigns the sentence of tokens pos tags.
TAG - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum: Deprecated.
TagDictionary - Interface in opennlp.tools.postag: Interface to determine which tags are valid for a particular word based on a tag dictionary.
TerminateToolException - Exception Class in opennlp.tools.cmdline: Exception to terminate the execution of a command line tool.
TerminateToolException(int) - Constructor for exception class opennlp.tools.cmdline.TerminateToolException
TerminateToolException(int, String) - Constructor for exception class opennlp.tools.cmdline.TerminateToolException
TerminateToolException(int, String, Throwable) - Constructor for exception class opennlp.tools.cmdline.TerminateToolException
THREADS_PARAM - Static variable in interface opennlp.tools.util.Parameters
ThreadSafe - Annotation Interface in opennlp.tools.commons: Classes, fields, or methods annotated @ThreadSafe are safe to use in multithreading contexts.
toDoubleArray(List) - Static method in class opennlp.tools.ml.ArrayMath: Convert a list of Double objects into an array of primitive doubles.
toDoubleBuffer() - Method in interface opennlp.tools.util.wordvector.WordVector
toFloatBuffer() - Method in interface opennlp.tools.util.wordvector.WordVector
toIntArray(List) - Static method in class opennlp.tools.ml.ArrayMath: Convert a list of Integer objects into an array of primitive integers.
TOK_NODE - Static variable in interface opennlp.tools.parser.Parser: The label for a token node.
token() - Method in record class opennlp.tools.util.TokenTag: Returns the value of the token record component.
TokenContextGenerator - Interface in opennlp.tools.tokenize: Interface for context generators required for tokenizer implementations.
tokenize(String) - Method in class opennlp.tools.tokenize.WhitespaceTokenizer
tokenize(String) - Method in interface opennlp.tools.tokenize.Tokenizer: Splits a string into its atomic parts.
tokenize(String) - Method in class opennlp.tools.tokenize.WordpieceTokenizer
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.WhitespaceTokenizer
tokenizePos(String) - Method in class opennlp.tools.tokenize.WordpieceTokenizer
Tokenizer - Interface in opennlp.tools.tokenize: The interface for tokenizers, which segment a string into its tokens.
TOKENIZER - Enum constant in enum class opennlp.tools.models.ModelType
TokenizerEvaluationMonitor - Interface in opennlp.tools.tokenize: A marker interface for evaluating tokenizers.
TokenNameFinder - Interface in opennlp.tools.namefind: The interface for name finders which provide name tags for a sequence of tokens.
TokenNameFinderEvaluationMonitor - Interface in opennlp.tools.namefind: A marker interface for evaluating name finders.
tokens() - Method in interface opennlp.tools.util.wordvector.WordVectorTable
TokenSample - Class in opennlp.tools.tokenize: A TokenSample is text with token spans.
TokenSample(String, Span[]) - Constructor for class opennlp.tools.tokenize.TokenSample: Initializes a instance.
TokenSample(Detokenizer, String[]) - Constructor for class opennlp.tools.tokenize.TokenSample: Initializes a instance via a Detokenizer.
TokenTag - Record Class in opennlp.tools.util
TokenTag(String, String, String[]) - Constructor for record class opennlp.tools.util.TokenTag: Creates an instance of a TokenTag record class.
toLowerCase(CharSequence) - Static method in class opennlp.tools.util.StringUtil: Converts a CharSequence to lower case, independent of the current Locale via Character.toLowerCase(int) which uses mapping information from the UnicodeData file.
toLowerCaseCharBuffer(CharSequence) - Static method in class opennlp.tools.util.StringUtil
TOP_NODE - Static variable in interface opennlp.tools.parser.Parser: The label for the top node.
topKSequences(String[]) - Method in interface opennlp.tools.postag.POSTagger: Assigns the sentence the top-k sequences.
topKSequences(String[], Object[]) - Method in interface opennlp.tools.postag.POSTagger: Assigns the sentence the top-k sequences.
topKSequences(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker: Computes 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: Computes the top k chunk sequences for the specified sentence with the specified pos-tags.
toString() - Method in class opennlp.tools.chunker.ChunkSample
toString() - Method in class opennlp.tools.doccat.DocumentSample
toString() - Method in class opennlp.tools.entitylinker.BaseLink
toString() - Method in class opennlp.tools.entitylinker.LinkedSpan
toString() - Method in class opennlp.tools.langdetect.Language
toString() - Method in record class opennlp.tools.langdetect.LanguageSample: Returns a string representation of this record class.
toString() - Method in class opennlp.tools.lemmatizer.LemmaSample
toString() - Method in class opennlp.tools.ml.model.Event
toString() - Method in record class opennlp.tools.models.ClassPathModelEntry: Returns a string representation of this record class.
toString() - Method in class opennlp.tools.namefind.NameSample
toString() - Method in class opennlp.tools.parser.Parse: Represents this Parse in a human-readable way.
toString() - Method in class opennlp.tools.postag.POSSample
toString() - Method in class opennlp.tools.sentdetect.SentenceSample
toString() - Method in class opennlp.tools.sentiment.SentimentSample
toString() - Method in class opennlp.tools.tokenize.TokenSample
toString() - Method in class opennlp.tools.util.eval.FMeasure
toString() - Method in class opennlp.tools.util.eval.Mean
toString() - Method in class opennlp.tools.util.Sequence
toString() - Method in class opennlp.tools.util.Span
toString() - Method in record class opennlp.tools.util.TokenTag: Returns a string representation of this record class.
toString() - Method in record class opennlp.tools.util.TrainingConfiguration: Returns a string representation of this record class.
toStringPennTreebank() - Method in class opennlp.tools.parser.Parse
toUpperCase(CharSequence) - Static method in class opennlp.tools.util.StringUtil: Converts a CharSequence to upper case, independent of the current Locale via Character.toUpperCase(char) which uses mapping information from the UnicodeData file.
train(DataIndexer) - Method in interface opennlp.tools.ml.EventTrainer: Trains a MaxentModel for given events.
train(SequenceStream) - Method in interface opennlp.tools.ml.EventModelSequenceTrainer: Trains a MaxentModel for given events.
train(SequenceStream) - Method in interface opennlp.tools.ml.SequenceTrainer: Trains a SequenceClassificationModel for given events.
train(ObjectStream) - Method in interface opennlp.tools.ml.EventTrainer: Trains a MaxentModel for given events.
Trainer<P> - Interface in opennlp.tools.commons: Represents a common base for training implementations.
TRAINER_TYPE_PARAM - Static variable in interface opennlp.tools.util.Parameters
TrainingConfiguration - Record Class in opennlp.tools.util: Configuration used for model training.
TrainingConfiguration(TrainingProgressMonitor, StopCriteria) - Constructor for record class opennlp.tools.util.TrainingConfiguration: Creates an instance of a TrainingConfiguration record class.
TrainingMeasure - Enum Class in opennlp.tools.monitoring: Enumeration of Training measures.
TrainingProgressMonitor - Interface in opennlp.tools.monitoring: An interface to capture training progress of a model.
TrainingToolParams - Interface in opennlp.tools.cmdline.params: Common training parameters.
TREEINSERT - Enum constant in enum class opennlp.tools.parser.ParserType
trim(CharSequence) - Method in class opennlp.tools.util.Span

U

updateAdaptiveData(String[], String[]) - Method in interface opennlp.tools.namefind.NameContextGenerator: Informs all the feature generators that the specified tokens have been classified with the corresponds set of specified outcomes.
updateAdaptiveData(String[], String[]) - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator: Informs a feature generator that the specified tokens have been classified with the corresponding set of specified outcomes.
updateContext(Sequence, MaxentModel) - Method in interface opennlp.tools.ml.model.SequenceStream: Creates a new event array based on the outcomes predicted by the specified parameters for the specified Sequence.
updateHeads(HeadRules) - Method in class opennlp.tools.parser.Parse: Computes the head parses for this parse and its sub-parses and stores this information in the parse data structure.
updateScores(Object[], Object[]) - Method in class opennlp.tools.util.eval.FMeasure: Updates the score based on the number of true positives and the number of predictions and references.
updateSpan() - Method in class opennlp.tools.parser.Parse
useFunctionTags(boolean) - Static method in class opennlp.tools.parser.Parse: Specifies whether function tags should be included as part of the constituent type.

V

validateArguments(String[], Class...) - Static method in class opennlp.tools.cmdline.ArgumentParser: Tests if the argument are correct or incorrect.
validateArguments(String[], Class) - Static method in class opennlp.tools.cmdline.ArgumentParser: Tests if the argument are correct or incorrect.
validateArgumentsLoudly(String[], Class) - Static method in class opennlp.tools.cmdline.ArgumentParser: Tests if the arguments are correct or incorrect.
validateArgumentsLoudly(String[], Class...) - Static method in class opennlp.tools.cmdline.ArgumentParser: Tests if the arguments are correct or incorrect.
validateLanguageCode(String) - Static method in class opennlp.tools.util.LanguageCodeValidator: Validates the given language code and throws an IllegalArgumentException if it is not a recognized ISO 639 language code.
validSequence(int, T[], String[], String) - Method in interface opennlp.tools.util.SequenceValidator: Determines whether a particular continuation of a sequence is valid.
value() - Element in annotation interface opennlp.tools.commons.Internal
valueName() - Element in annotation interface opennlp.tools.cmdline.ArgumentParser.ParameterDescription
valueOf(String) - Static method in enum class opennlp.tools.ml.AlgorithmType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.models.ModelType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.monitoring.TrainingMeasure: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.parser.ParserEventTypeEnum: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.parser.ParserType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.util.model.ModelType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.util.wordvector.WordVectorType: Returns the enum constant of this class with the specified name.
values() - Static method in enum class opennlp.tools.ml.AlgorithmType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.models.ModelType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.monitoring.TrainingMeasure: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.parser.ParserEventTypeEnum: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.parser.ParserType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.util.model.ModelType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.util.wordvector.WordVectorType: Returns an array containing the constants of this enum class, in the order they are declared.

W

WhitespaceTokenizer - Class in opennlp.tools.tokenize: A basic Tokenizer implementation which performs tokenization using white spaces.
WordpieceTokenizer - Class in opennlp.tools.tokenize: A Tokenizer implementation which performs tokenization using word pieces.
WordpieceTokenizer(Set) - Constructor for class opennlp.tools.tokenize.WordpieceTokenizer: Initializes a WordpieceTokenizer with a vocabulary and a default maxTokenLength of 50.
WordpieceTokenizer(Set, int) - Constructor for class opennlp.tools.tokenize.WordpieceTokenizer: Initializes a WordpieceTokenizer with a vocabulary and a custom maxTokenLength.
WordVector - Interface in opennlp.tools.util.wordvector: A word vector.
WordVectorTable - Interface in opennlp.tools.util.wordvector: A table that maps tokens to word vectors.
WordVectorType - Enum Class in opennlp.tools.util.wordvector

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