# All Classes

- All Classes Interface Summary Class Summary Enum Summary Exception Summary Annotation Types Summary
  Class | Description
  --- | ---
  AbstractBottomUpParser | 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.
  AbstractContextGenerator | Abstract class containing many of the methods used to generate contexts for parsing.
  AbstractDataIndexer | Abstract class for collecting event and context counts used in training.
  AbstractEventModelSequenceTrainer |
  AbstractEventStream<T> |
  AbstractEventTrainer |
  AbstractModel |
  AbstractModel.ModelType |
  AbstractModelReader |
  AbstractModelWriter |
  AbstractObjectStream<T> |
  AbstractParserEventStream | Abstract class extended by parser event streams which perform tagging and chunking.
  AbstractSampleStreamFactory<T> | Base class for sample stream factories.
  AbstractSequenceTrainer |
  AbstractToSentenceSampleStream<T> |
  AbstractTrainer |
  AdaptiveFeatureGenerator | An interface for generating features for name entity identification and for updating document level contexts.
  ADChunkSampleStream | Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese Chunker training.
  ADChunkSampleStreamFactory | A Factory to create a Arvores Deitadas ChunkStream from the command line utility.
  AdditionalContextFeatureGenerator | The `AdditionalContextFeatureGenerator` generates the context from the passed in additional context.
  ADNameSampleStream | Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese NER training.
  ADNameSampleStreamFactory | A Factory to create a Arvores Deitadas NameSampleDataStream from the command line utility.
  ADPOSSampleStream | Note: Do not use this class, internal use only!
  ADPOSSampleStreamFactory | Note: Do not use this class, internal use only!
  ADSentenceSampleStream | Note: Do not use this class, internal use only!
  ADSentenceSampleStreamFactory | Note: Do not use this class, internal use only!
  ADSentenceStream | Stream filter which merges text lines into sentences, following the Arvores Deitadas syntax.
  ADSentenceStream.Sentence |
  ADSentenceStream.SentenceParser | Parses a sample of AD corpus.
  ADTokenSampleStreamFactory | Note: Do not use this class, internal use only!
  AggregateCharSequenceNormalizer |
  AggregatedFeatureGenerator | The `AggregatedFeatureGenerator` aggregates a set of `AdaptiveFeatureGenerator`s and calls them to generate the features.
  AggregatedFeatureGeneratorFactory |
  AncoraSpanishHeadRules | Class for storing the Ancora Spanish head rules associated with parsing.
  AncoraSpanishHeadRules.HeadRulesSerializer |
  AnnotationConfiguration |
  AnnotatorNoteAnnotation |
  arabicStemmer | This class was automatically generated by a Snowball to Java compiler It implements the stemming algorithm defined by a snowball script.
  ArrayMath | Utility class for simple vector arithmetic.
  ArrayMath | Deprecated.
  ArtifactProvider | Provides access to model persisted artifacts.
  ArtifactSerializer<T> | Responsible to create an artifact from an `InputStream`.
  ArtifactToSerializerMapper | Deprecated.
  AttachContextGenerator |
  AttributeAnnotation |
  Attributes | The `Attributes` class stores name value pairs.
  BagOfWordsFeatureGenerator | Generates a feature for each word in a document.
  BaseLink | Stores a minimal tuple of information.
  BaseModel | This model is a common based which can be used by the components model classes.
  BaseToolFactory | Base class for all tool factories.
  BasicContextGenerator | Generate contexts for maxent decisions, assuming that the input given to the getContext() method is a String containing contextual predicates separated by spaces.
  BasicFormatParams | Common format parameters.
  BasicTrainingParams | Common training parameters.
  BeamSearch<T> | Performs k-best search over sequence.
  BeamSearchContextGenerator<T> | Interface for context generators used with a sequence beam search.
  BigramNameFeatureGenerator |
  BigramNameFeatureGeneratorFactory |
  BilouCodec |
  BilouNameFinderSequenceValidator |
  BinaryFileDataReader |
  BinaryGISModelReader | A reader for GIS models stored in binary format.
  BinaryGISModelWriter | Model writer that saves models in binary format.
  BinaryNaiveBayesModelReader |
  BinaryNaiveBayesModelWriter | Model writer that saves models in binary format.
  BinaryPerceptronModelReader |
  BinaryPerceptronModelWriter | Model writer that saves models in binary format.
  BinaryQNModelReader | A reader for quasi-newton models stored in binary format.
  BinaryQNModelWriter |
  BioCodec |
  BioNLP2004NameSampleStream | Parser for the training files of the BioNLP/NLPBA 2004 shared task.
  BioNLP2004NameSampleStreamFactory |
  BratAnnotation |
  BratAnnotationStream | Reads the annotations from the brat .ann annotation file.
  BratDocument |
  BratDocumentParser |
  BratDocumentStream |
  BratNameSampleStream | Generates Name Sample objects for a Brat Document object.
  BratNameSampleStreamFactory |
  BrownBigramFeatureGenerator | Generates Brown cluster features for token bigrams.
  BrownCluster | Class to load a Brown cluster document: word\tword_class\tprob http://metaoptimize.com/projects/wordreprs/ The file containing the clustering lexicon has to be passed as the value of the dict attribute of each BrownCluster feature generator.
  BrownCluster.BrownClusterSerializer |
  BrownClusterBigramFeatureGeneratorFactory | Generates Brown clustering features for token bigrams.
  BrownClusterTokenClassFeatureGeneratorFactory | Generates Brown clustering features for token classes.
  BrownClusterTokenFeatureGeneratorFactory | Generates Brown clustering features for current token.
  BrownTokenClasses | Obtain the paths listed in the pathLengths array from the Brown class.
  BrownTokenClassFeatureGenerator | Generates Brown cluster features for current token and token class.
  BrownTokenFeatureGenerator | Generates Brown cluster features for current token.
  BuildContextGenerator | Class to generator predictive contexts for deciding how constituents should be combined together.
  BuildContextGenerator | Creates the features or contexts for the building phase of parsing.
  BuildModelUpdaterTool |
  ByteArraySerializer |
  Cache<K,​V> | Provides fixed size, pre-allocated, least recently used replacement cache.
  CachedFeatureGenerator | Caches features of the aggregated `AdaptiveFeatureGenerator`s.
  CachedFeatureGeneratorFactory |
  catalanStemmer | This class was automatically generated by a Snowball to Java compiler It implements the stemming algorithm defined by a snowball script.
  CensusDictionaryCreatorTool | This tool helps create a loadable dictionary for the `NameFinder`, from data collected from US Census data.
  CharacterNgramFeatureGenerator | The `CharacterNgramFeatureGenerator` uses character ngrams to generate features about each token.
  CharacterNgramFeatureGeneratorFactory |
  CharSequenceNormalizer | A char sequence normalizer, used to adjusting (prune, substitute, add, etc.) characters in order to remove noise from text
  CheckContextGenerator | Class for generating predictive context for deciding when a constituent is complete.
  CheckContextGenerator |
  CheckModelUpdaterTool |
  ChunkContextGenerator | Creates predivtive context for the pre-chunking phases of parsing.
  Chunker | The interface for chunkers which provide chunk tags for a sequence of tokens.
  ChunkerContextGenerator | Interface for the context generator used in syntactic chunking.
  ChunkerConverterTool | Tool to convert multiple data formats into native OpenNLP chunker training format.
  ChunkerCrossValidator |
  ChunkerCrossValidatorTool |
  ChunkerDetailedFMeasureListener |
  ChunkerEvaluationMonitor |
  ChunkerEvaluator | The `ChunkerEvaluator` measures the performance of the given `Chunker` with the provided reference `ChunkSample`s.
  ChunkerEvaluatorTool |
  ChunkerEventStream | Class for creating an event stream out of data files for training a chunker.
  ChunkerFactory |
  ChunkerME | The class represents a maximum-entropy-based chunker.
  ChunkerMETool |
  ChunkerModel | The `ChunkerModel` is the model used by a learnable `Chunker`.
  ChunkerModelLoader | Loads a Chunker Model for the command line tools.
  ChunkerModelSerializer |
  ChunkerSampleStreamFactory | Factory producing OpenNLP `ChunkSampleStream`s.
  ChunkerTrainerTool |
  ChunkEvaluationErrorListener | A default implementation of `EvaluationMonitor` that prints to an output stream.
  ChunkSample | Class for holding chunks for a single unit of text.
  ChunkSampleSequenceStream |
  ChunkSampleStream | Parses the conll 2000 shared task shallow parser training data.
  ChunkSampleStream |
  CollectionObjectStream<E> |
  ComparableEvent | A maxent event representation which we can use to sort based on the predicates indexes contained in the events.
  ComparablePredicate | A maxent predicate representation which we can use to sort based on the outcomes.
  ConfigurablePOSContextGenerator | A context generator for the POS Tagger.
  Conll02NameSampleStream | Parser for the dutch and spanish ner training files of the CONLL 2002 shared task.
  Conll02NameSampleStream.LANGUAGE |
  Conll02NameSampleStreamFactory | Note: Do not use this class, internal use only!
  Conll03NameSampleStream | An import stream which can parse the CONLL03 data.
  Conll03NameSampleStream.LANGUAGE |
  Conll03NameSampleStreamFactory |
  ConlluLemmaSampleStream |
  ConlluLemmaSampleStreamFactory | Note: Do not use this class, internal use only!
  ConlluPOSSampleStream |
  ConlluPOSSampleStreamFactory | Note: Do not use this class, internal use only!
  ConlluSentence |
  ConlluSentenceSampleStream |
  ConlluSentenceSampleStreamFactory |
  ConlluStream | The CoNNL-U Format is specified here: http://universaldependencies.org/format.html
  ConlluTagset |
  ConlluTokenSampleStream |
  ConlluTokenSampleStreamFactory |
  ConlluWordLine |
  ConllXPOSSampleStream | Parses the data from the CONLL 06 shared task into POS Samples.
  ConllXPOSSampleStreamFactory | Note: Do not use this class, internal use only!
  ConllXSentenceSampleStreamFactory | Note: Do not use this class, internal use only!
  ConllXTokenSampleStreamFactory | Note: Do not use this class, internal use only!
  Cons | Class to hold feature information about a specific parse node.
  ConstitParseSampleStream |
  ConstitParseSampleStreamFactory |
  Constituent | Class used to hold constituents when reading parses.
  Context | Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.
  ContextGenerator<T> | Generate contexts for maxent decisions.
  CrossValidationPartitioner<E> | Provides access to training and test partitions for n-fold cross validation.
  CrossValidationPartitioner.TrainingSampleStream<E> | The `TrainingSampleStream` which iterates over all training elements.
  CustomFeatureGenerator | Deprecated.
  CVParams | Common cross validator parameters.
  DataIndexer | Object which compresses events in memory and performs feature selection.
  DataIndexerFactory |
  DataReader |
  DataStream | A interface for objects which can deliver a stream of training data to be supplied to an EventStream.
  DefaultChunkerContextGenerator | Features based on chunking model described in Fei Sha and Fernando Pereira.
  DefaultChunkerSequenceValidator |
  DefaultEndOfSentenceScanner | Default implementation of the `EndOfSentenceScanner`.
  DefaultLanguageDetectorContextGenerator | A context generator for language detector.
  DefaultLemmatizerContextGenerator | Simple feature generator for learning statistical lemmatizers.
  DefaultLemmatizerSequenceValidator |
  DefaultNameContextGenerator | Class for determining contextual features for a tag/chunk style named-entity recognizer.
  DefaultPOSContextGenerator | A context generator for the POS Tagger.
  DefaultPOSSequenceValidator |
  DefaultSDContextGenerator | Generate event contexts for maxent decisions for sentence detection.
  DefaultTokenContextGenerator | Generate events for maxent decisions for tokenization.
  DefinitionFeatureGeneratorFactory |
  DetailedFMeasureEvaluatorParams | EvaluatorParams for Chunker.
  DetokenEvaluationErrorListener | A default implementation of `EvaluationMonitor` that prints to an output stream.
  DetokenizationDictionary |
  DetokenizationDictionary.Operation |
  Detokenizer | A Detokenizer merges tokens back to their untokenized representation.
  Detokenizer.DetokenizationOperation | This enum contains an operation for every token to merge the tokens together to their detokenized form.
  DetokenizerEvaluator | The `DetokenizerEvaluator` measures the performance of the given `Detokenizer` with the provided reference `TokenSample`s.
  DetokenizerParameter |
  DetokenizerSampleStreamFactory<T> | Base class for factories which need detokenizer.
  DetokenizeSentenceSampleStream |
  Dictionary | This class is a dictionary.
  DictionaryBuilderTool |
  DictionaryDetokenizer | A rule based detokenizer.
  DictionaryDetokenizerTool |
  DictionaryEntryPersistor | This class is used by for reading and writing dictionaries of all kinds.
  DictionaryFeatureGenerator | The `DictionaryFeatureGenerator` uses the `DictionaryNameFinder` to generated features for detected names based on the `InSpanGenerator`.
  DictionaryFeatureGeneratorFactory |
  DictionaryLemmatizer | Lemmatize by simple dictionary lookup into a hashmap built from a file containing, for each line, word\tabpostag\tablemma.
  DictionaryNameFinder | This is a dictionary based name finder, it scans text for names inside a dictionary.
  DictionarySerializer |
  DirectorySampleStream | The directory sample stream allows for creating a stream from a directory listing of files.
  DoccatConverterTool |
  DoccatCrossValidator | Cross validator for document categorization
  DoccatCrossValidatorTool |
  DoccatEvaluationErrorListener | A default implementation of `EvaluationMonitor` that prints to an output stream.
  DoccatEvaluationMonitor | `EvaluationMonitor` for doccat.
  DoccatEvaluatorTool |
  DoccatFactory | The factory that provides Doccat default implementations and resources
  DoccatFineGrainedReportListener | Generates a detailed report for the POS Tagger.
  DoccatModel | A model for document categorization
  DoccatModelLoader | Loads a Document Categorizer Model for the command line tools.
  DoccatTool |
  DoccatTrainerTool |
  DocumentBeginFeatureGenerator |
  DocumentBeginFeatureGeneratorFactory |
  DocumentCategorizer | Interface for classes which categorize documents.
  DocumentCategorizerEvaluator | The `DocumentCategorizerEvaluator` measures the performance of the given `DocumentCategorizer` with the provided reference `DocumentSample`s.
  DocumentCategorizerEventStream | Iterator-like class for modeling document classification events.
  DocumentCategorizerME | Maxent implementation of `DocumentCategorizer`.
  DocumentNameFinder | Name finding interface which processes an entire document allowing the name finder to use context from the entire document.
  DocumentSample | Class which holds a classified document and its category.
  DocumentSampleStream | This class reads in string encoded training samples, parses them and outputs `DocumentSample` objects.
  DocumentSampleStreamFactory | Factory producing OpenNLP `DocumentSampleStream`s.
  DocumentToLineStream | Reads a plain text file and return each line as a `String` object.
  DownloadUtil | This class facilitates the downloading of pretrained OpenNLP models.
  DownloadUtil.ModelType | The type of model.
  DynamicEvalParameters |
  EmojiCharSequenceNormalizer | Normalizer for emojis.
  EmptyLinePreprocessorStream | Stream to to clean up empty lines for empty line separated document streams. - Skips empty line at training data start - Transforms multiple empty lines in a row into one - Replaces white space lines with empty lines - TODO: Terminates last document with empty line if it is missing This stream should be used by the components that mark empty lines to mark document boundaries.
  EncodingParameter | Encoding parameter.
  EndOfSentenceScanner | Scans Strings, StringBuffers, and char[] arrays for the offsets of sentence ending characters.
  EntityLinker<T extends Span> | EntityLinkers establish connections to external data to enrich extracted entities.
  EntityLinkerFactory | Generates an EntityLinker implementation via properties file configuration
  EntityLinkerProperties | Properties wrapper for the EntityLinker framework
  EntityLinkerTool |
  Entry | An `Entry` is a `StringList` which can optionally be mapped to attributes.
  EntryInserter |
  EvalitaNameSampleStream | Parser for the Italian NER training files of the Evalita 2007 and 2009 NER shared tasks.
  EvalitaNameSampleStream.LANGUAGE |
  EvalitaNameSampleStreamFactory | Note: Do not use this class, internal use only!
  EvalParameters | This class encapsulates the varibales used in producing probabilities from a model and facilitaes passing these variables to the eval method.
  EvaluationMonitor<T> |
  Evaluator<T> | The `Evaluator` is an abstract base class for evaluators.
  EvaluatorParams | Common evaluation parameters.
  Event | The context of a decision point during training.
  EventAnnotation |
  EventModelSequenceTrainer |
  EventTraceStream |
  EventTrainer |
  Experimental | Indicates that the API is not stable.
  ExtensionLoader | The `ExtensionLoader` is responsible to load extensions to the OpenNLP library.
  ExtensionNotLoadedException | Exception indicates that an OpenNLP extension could not be loaded.
  ExtensionServiceKeys |
  Factory |
  Factory |
  FeatureGenerator | Interface for generating features for document categorization.
  FeatureGeneratorResourceProvider | The `FeatureGeneratorResourceProvider` provides access to the resources provided in the model.
  FeatureGeneratorUtil | This class provide common utilities for feature generation.
  FileEventStream | Class for using a file of events as an event stream.
  FileToByteArraySampleStream |
  FileToStringSampleStream | Provides the ability to read the contents of files contained in an object stream of files.
  FilterObjectStream<S,​T> | Abstract base class for filtering `ObjectStream`s.
  FineGrainedEvaluatorParams | Common evaluation parameters.
  FMeasure | The `FMeasure` is an utility class for evaluators which measure precision, recall and the resulting f-measure.
  Function | Interface for a function
  GapLabeler | Interface for labeling nodes which contain traces so that these traces can be predicted by the parser.
  GeneratorFactory | Creates a set of feature generators based on a provided XML descriptor.
  GeneratorFactory.AbstractXmlFeatureGeneratorFactory |
  GenericModelReader |
  GenericModelSerializer |
  GenericModelWriter |
  GISModel | A maximum entropy model which has been trained using the Generalized Iterative Scaling procedure (implemented in GIS.java).
  GISModelReader | Abstract parent class for readers of GISModels.
  GISModelWriter | Abstract parent class for GISModel writers.
  GISTrainer | An implementation of Generalized Iterative Scaling.
  Glove | Warning: Experimental new feature, see OPENNLP-1144 for details, the API might be changed anytime.
  greekStemmer | This class was automatically generated by a Snowball to Java compiler It implements the stemming algorithm defined by a snowball script.
  HashSumEventStream |
  HeadRules | Interface for encoding the head rules associated with parsing.
  HeadRules | Class for storing the English head rules associated with parsing.
  HeadRules.HeadRulesSerializer |
  Index | This classes indexes `StringList`s.
  indonesianStemmer | This class implements the stemming algorithm defined by a snowball script.
  InputStreamFactory | Allows repeated reads through a stream for certain types of model building.
  InSpanGenerator | Generates features if the tokens are recognized by the provided `TokenNameFinder`.
  InsufficientTrainingDataException | This exception indicates that the provided training data is insufficient to train the desired model.
  InvalidFormatException | This exception indicates that a resource violates the expected data format.
  IrishSentenceBankDocument | A structure to hold an Irish Sentence Bank document, which is a collection of tokenized sentences.
  IrishSentenceBankDocument.IrishSentenceBankFlex |
  IrishSentenceBankDocument.IrishSentenceBankSentence |
  IrishSentenceBankSentenceStreamFactory |
  IrishSentenceBankTokenSampleStreamFactory |
  irishStemmer | This class was automatically generated by a Snowball to Java compiler It implements the stemming algorithm defined by a snowball script.
  Language | Class for holding the document language and its confidence
  LanguageDetector | The interface for LanguageDetector which provide the @`Language` according to the context.
  LanguageDetectorConfig |
  LanguageDetectorContextGenerator | A context generator interface for language detector.
  LanguageDetectorConverterTool |
  LanguageDetectorCrossValidator | Cross validator for language detector
  LanguageDetectorCrossValidatorTool |
  LanguageDetectorEvaluationErrorListener | A default implementation of `EvaluationMonitor` that prints to an output stream.
  LanguageDetectorEvaluationMonitor | `EvaluationMonitor` for Language Detector.
  LanguageDetectorEvaluator | The `LanguageDetectorEvaluator` measures the performance of the given `LanguageDetector` with the provided reference `LanguageSample`s.
  LanguageDetectorEvaluatorTool |
  LanguageDetectorEventStream | Iterator-like class for modeling language detector events.
  LanguageDetectorFactory | Default factory used by Language Detector.
  LanguageDetectorFineGrainedReportListener | Generates a detailed report for the POS Tagger.
  LanguageDetectorME | Implements learnable Language Detector
  LanguageDetectorModel | A model for language detection
  LanguageDetectorModelLoader | Loads a Language Detector Model for the command line tools.
  LanguageDetectorSampleStream | This class reads in string encoded training samples, parses them and outputs `LanguageSample` objects.
  LanguageDetectorSampleStreamFactory | Factory producing OpenNLP `DocumentSampleStream`s.
  LanguageDetectorTool |
  LanguageDetectorTrainerTool |
  LanguageModel | A language model can calculate the probability p (between 0 and 1) of a certain `sequence of tokens`, given its underlying vocabulary.
  LanguageParams |
  LanguageSample | Class which holds a classified document and its @`Language`.
  LanguageSampleStreamFactory<T> | Stream factory for those streams which carry language.
  LeipzigLanguageSampleStream |
  LeipzigLanguageSampleStreamFactory | Note: Do not use this class, internal use only!
  LemmaEvaluationErrorListener | A default implementation of `EvaluationMonitor` that prints to an output stream.
  LemmaSample | Represents an lemmatized sentence.
  LemmaSampleEventStream | Class for creating an event stream out of data files for training a probabilistic lemmatizer.
  LemmaSampleSequenceStream |
  LemmaSampleStream | Reads data for training and testing the lemmatizer.
  Lemmatizer | The interface for lemmatizers.
  LemmatizerContextGenerator | Interface for the context generator used for probabilistic lemmatizer.
  LemmatizerEvaluationMonitor | Interface for the lemmatizer evaluator.
  LemmatizerEvaluator | The `LemmatizerEvaluator` measures the performance of the given `Lemmatizer` with the provided reference `LemmaSample`s.
  LemmatizerEvaluatorTool |
  LemmatizerFactory |
  LemmatizerFineGrainedReportListener | Generates a detailed report for the Lemmatizer.
  LemmatizerME | A probabilistic lemmatizer.
  LemmatizerMETool |
  LemmatizerModel | The `LemmatizerModel` is the model used by a learnable `Lemmatizer`.
  LemmatizerModelLoader | Loads a Lemmatizer Model for the command line tools.
  LemmatizerSampleStreamFactory | Factory producing OpenNLP `LemmaSampleStream`s.
  LemmatizerTrainerTool |
  LetsmtDocument | A structure to hold the letsmt document.
  LetsmtDocument.LetsmtDocumentHandler |
  LetsmtDocument.LetsmtSentence |
  LetsmtSentenceStreamFactory |
  LineSearch | Class that performs line search to find minimum
  LineSearch.LineSearchResult | Class to store lineSearch result
  LinkedSpan<T extends BaseLink> | An "default" extended span that holds additional information about the Span
  LogProbabilities<T> | Class implementing the probability distribution over labels returned by a classifier as a log of probabilities.
  LogProbability<T> | Class implementing the probability for a label.
  MarkableFileInputStreamFactory | A factory that creates `MarkableFileInputStream` from a `File`
  MascDocument |
  MascDocumentStream |
  MascNamedEntityParser | A class to process the MASC Named entity stand-off annotation file
  MascNamedEntitySampleStream |
  MascNamedEntitySampleStreamFactory |
  MascPennTagParser | A class for parsing MASC's Penn tagging/tokenization stand-off annotation
  MascPOSSampleStream |
  MascPOSSampleStreamFactory |
  MascSentence |
  MascSentenceSampleStream |
  MascSentenceSampleStreamFactory |
  MascToken |
  MascTokenSampleStream |
  MascTokenSampleStreamFactory |
  MascWord |
  MaxentModel | Interface for maximum entropy models.
  Mean | Calculates the arithmetic mean of values added with the `Mean.add(double)` method.
  ModelParameterChunker | A helper class that handles Strings with more than 64k (65535 bytes) in length.
  ModelType |
  ModelUtil | Utility class for handling of `MaxentModel`s.
  MosesSentenceSampleStream |
  MosesSentenceSampleStreamFactory | Factory producing OpenNLP `MosesSentenceSampleStream`s.
  Muc6NameSampleStreamFactory |
  MucNameContentHandler |
  MucNameSampleStream |
  MutableContext | Class used to store parameters or expected values associated with this context which can be updated or assigned.
  MutableInt | This is a non-thread safe mutable int.
  MutableTagDictionary | Interface that allows `TagDictionary` entries to be added and removed.
  NaiveBayesEvalParameters | Parameters for the evalution of a naive bayes classifier
  NaiveBayesModel | Class implementing the multinomial Naive Bayes classifier model.
  NaiveBayesModelReader | Abstract parent class for readers of NaiveBayes.
  NaiveBayesModelWriter | Abstract parent class for NaiveBayes writers.
  NaiveBayesTrainer | Trains models using the combination of EM algorithm and Naive Bayes classifier which is described in: Text Classification from Labeled and Unlabeled Documents using EM Nigam, McCallum, et al paper of 2000
  NameContextGenerator | Interface for generating the context for an name finder by specifying a set of geature generators.
  NameEvaluationErrorListener | A default implementation of `EvaluationMonitor` that prints to an output stream.
  NameFinderCensus90NameStream | This class helps to read the US Census data from the files to build a StringList for each dictionary entry in the name-finder dictionary.
  NameFinderEventStream | Class for creating an event stream out of data files for training an name finder.
  NameFinderME | Class for creating a maximum-entropy-based name finder.
  NameFinderSequenceValidator | This class is created by the `BioCodec`.
  NameSample | Class for holding names for a single unit of text.
  NameSampleCountersStream | Counts tokens, sentences and names by type
  NameSampleDataStream | The `NameSampleDataStream` class converts tagged `String`s provided by a `DataStream` to `NameSample` objects.
  NameSampleDataStreamFactory | Factory producing OpenNLP `NameSampleDataStream`s.
  NameSampleDataStreamFactory.Parameters |
  NameSampleSequenceStream |
  NameSampleTypeFilter | A stream which removes Name Samples which do not have a certain type.
  NameToSentenceSampleStream | Note: Do not use this class, internal use only!
  NameToSentenceSampleStreamFactory | Note: Do not use this class, internal use only!
  NameToTokenSampleStream | Note: Do not use this class, internal use only!
  NameToTokenSampleStreamFactory | Note: Do not use this class, internal use only!
  NegLogLikelihood | Evaluate negative log-likelihood and its gradient from DataIndexer.
  NewlineSentenceDetector | The Newline Sentence Detector assumes that sentences are line delimited and recognizes one sentence per non-empty line.
  NGramCharModel | The `NGramCharModel` can be used to create character ngrams.
  NGramFeatureGenerator | Generates ngram features for a document.
  NGramGenerator | Generates an nGram, with optional separator, and returns the grams as a list of strings
  NGramLanguageModel | A `LanguageModel` based on a `NGramModel` using Stupid Backoff to get the probabilities of the ngrams.
  NGramLanguageModelTool | Command line tool for `NGramLanguageModel`.
  NGramModel | The `NGramModel` can be used to crate ngrams and character ngrams.
  NGramUtils | Utility class for ngrams.
  NKJPSegmentationDocument |
  NKJPSegmentationDocument.Pointer |
  NKJPSentenceSampleStream |
  NKJPSentenceSampleStreamFactory |
  NKJPTextDocument |
  NumberCharSequenceNormalizer | Normalizer for numbers
  ObjectDataReader |
  ObjectStream<T> | Reads `Object`s from a stream.
  ObjectStreamUtils |
  OnePassDataIndexer | An indexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates.
  OnePassRealValueDataIndexer | 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.
  OntoNotesFormatParameters |
  OntoNotesNameSampleStream | Name Sample Stream parser for the OntoNotes 4.0 corpus.
  OntoNotesNameSampleStreamFactory |
  OntoNotesParseSampleStream |
  OntoNotesParseSampleStreamFactory |
  OntoNotesPOSSampleStreamFactory |
  OSGiExtensionLoader | OSGi bundle activator which can use an OSGi service as an OpenNLP extension.
  OutcomePriorFeatureGenerator | The definition feature maps the underlying distribution of outcomes.
  ParagraphStream | Stream filter which merges text lines into paragraphs.
  ParallelNegLogLikelihood | Evaluate negative log-likelihood and its gradient in parallel
  Parse | Data structure for holding parse constituents.
  Parser | Class for a shift reduce style parser based on Adwait Ratnaparkhi's 1998 thesis.
  Parser | Interface for full-syntactic parsers.
  Parser | Built/attach parser.
  ParserChunkerFactory |
  ParserChunkerSequenceValidator |
  ParserConverterTool |
  ParserCrossValidator |
  ParserEvaluationMonitor |
  ParserEvaluator | Class for ParserEvaluator.
  ParserEvaluatorTool |
  ParserEventStream | Wrapper class for one of four parser event streams.
  ParserEventStream |
  ParserEventTypeEnum | Enumerated type of event types for the parser.
  ParserFactory |
  ParserModel | This is an abstract base class for `ParserModel` implementations.
  ParserModelLoader | Loads a Parser Model for the command line tools.
  ParserTool |
  ParserTrainerTool |
  ParserType |
  ParseSampleStream |
  ParseSampleStreamFactory | Factory producing OpenNLP `ParseSampleStream`s.
  ParseSampleStreamFactory.Parameters |
  ParseToPOSSampleStream | Note: Do not use this class, internal use only!
  ParseToPOSSampleStreamFactory | Note: Do not use this class, internal use only!
  ParseToSentenceSampleStreamFactory | Note: Do not use this class, internal use only!
  ParseToTokenSampleStreamFactory | Note: Do not use this class, internal use only!
  PerceptronModel |
  PerceptronModelReader | Abstract parent class for readers of Perceptron.
  PerceptronModelWriter | Abstract parent class for Perceptron writers.
  PerceptronTrainer | Trains models using the perceptron algorithm.
  PlainTextByLineStream | Reads a plain text file and return each line as a `String` object.
  PlainTextFileDataReader |
  PlainTextNaiveBayesModelReader |
  PlainTextNaiveBayesModelWriter | Model writer that saves models in plain text format.
  PorterStemmer | Stemmer, implementing the Porter Stemming Algorithm The Stemmer class transforms a word into its root form.
  PortugueseContractionUtility | Utility class to handle Portuguese contractions.
  POSContextGenerator | The interface for a context generator for the POS Tagger.
  POSDictionary | Provides a means of determining which tags are valid for a particular word based on a tag dictionary read from a file.
  POSEvaluationErrorListener | A default implementation of `EvaluationMonitor` that prints to an output stream.
  POSEvaluator | The `POSEvaluator` measures the performance of the given `POSTagger` with the provided reference `POSSample`s.
  POSModel | The `POSModel` is the model used by a learnable `POSTagger`.
  POSModelLoader | Loads a POS Tagger Model for the command line tools.
  POSModelSerializer |
  POSSample | Represents an pos-tagged sentence.
  POSSampleEventStream | This class reads the `POSSample`s from the given `Iterator` and converts the `POSSample`s into `Event`s which can be used by the maxent library for training.
  POSSampleSequenceStream |
  PosSampleStream |
  POSTagger | The interface for part of speech taggers.
  POSTaggerConverterTool |
  POSTaggerCrossValidator |
  POSTaggerCrossValidatorTool |
  POSTaggerEvaluationMonitor |
  POSTaggerEvaluatorTool |
  POSTaggerFactory | The factory that provides POS Tagger default implementations and resources
  POSTaggerFactory.POSDictionarySerializer |
  PosTaggerFeatureGenerator |
  PosTaggerFeatureGeneratorFactory |
  POSTaggerFineGrainedReportListener | Generates a detailed report for the POS Tagger.
  POSTaggerME | A part-of-speech tagger that uses maximum entropy.
  POSTaggerNameFeatureGenerator | Adds the token POS Tag as feature.
  POSTaggerNameFeatureGeneratorFactory |
  POSTaggerTool |
  POSTaggerTrainerTool |
  POSToSentenceSampleStream | Note: Do not use this class, internal use only!
  POSToSentenceSampleStreamFactory | Note: Do not use this class, internal use only!
  POSToTokenSampleStream | Note: Do not use this class, internal use only!
  POSToTokenSampleStreamFactory | Note: Do not use this class, internal use only!
  PrefixFeatureGenerator |
  PrefixFeatureGeneratorFactory |
  PreviousMapFeatureGenerator | This `AdaptiveFeatureGenerator` generates features indicating the outcome associated with a previously occuring word.
  PreviousMapFeatureGeneratorFactory |
  PreviousTwoMapFeatureGenerator | This `AdaptiveFeatureGenerator` generates features indicating the outcome associated with two previously occuring words.
  Prior | This interface allows one to implement a prior distribution for use in maximum entropy model training.
  Probabilities<T> | Class implementing the probability distribution over labels returned by a classifier.
  Probability<T> | Class implementing the probability for a label.
  ProbingLanguageDetectionResult |
  QNMinimizer | Implementation of L-BFGS which supports L1-, L2-regularization and Elastic Net for solving convex optimization problems.
  QNMinimizer.Evaluator | Evaluate quality of training parameters.
  QNMinimizer.L2RegFunction | L2-regularized objective function
  QNModel |
  QNModelReader |
  QNModelWriter |
  QNTrainer | Maxent model trainer using L-BFGS algorithm.
  RealBasicEventStream |
  RealValueFileEventStream |
  RegexNameFinder | Name finder based on a series of regular expressions.
  RegexNameFinderFactory | Returns a RegexNameFinder based on A selection of defaults or a configuration and a selection of defaults
  RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER |
  RegexNameFinderFactory.RegexAble |
  RelationAnnotation |
  ResetableIterator<E> | This interface makes an `Iterator` resetable.
  ReverseListIterator<T> | An iterator for a list which returns values in the opposite order as the typical list iterator.
  SDContextGenerator | Interface for `SentenceDetectorME` context generators.
  SDCrossValidator | A cross validator for the sentence detector.
  SDEventStream |
  SegmenterObjectStream<S,​T> |
  SentenceContextGenerator | Creates contexts/features for end-of-sentence detection in Thai text.
  SentenceDetector | The interface for sentence detectors, which find the sentence boundaries in a text.
  SentenceDetectorConverterTool |
  SentenceDetectorCrossValidatorTool |
  SentenceDetectorEvaluationMonitor |
  SentenceDetectorEvaluator | The `SentenceDetectorEvaluator` measures the performance of the given `SentenceDetector` with the provided reference `SentenceSample`s.
  SentenceDetectorEvaluatorTool |
  SentenceDetectorFactory | The factory that provides SentenceDetecor default implementations and resources
  SentenceDetectorME | A sentence detector for splitting up raw text into sentences.
  SentenceDetectorTool | A sentence detector which uses a maxent model to predict the sentences.
  SentenceDetectorTrainerTool |
  SentenceEvaluationErrorListener | A default implementation of `EvaluationMonitor` that prints to an output stream.
  SentenceFeatureGenerator | This feature generator creates sentence begin and end features.
  SentenceFeatureGeneratorFactory |
  SentenceModel | The `SentenceModel` is the model used by a learnable `SentenceDetector`.
  SentenceSample | A `SentenceSample` contains a document with begin indexes of the individual sentences.
  SentenceSampleStream | This class is a stream filter which reads a sentence by line samples from a `Reader` and converts them into `SentenceSample` objects.
  SentenceSampleStreamFactory | Factory producing OpenNLP `SentenceSampleStream`s.
  Sequence<T> | Class which models a sequence.
  Sequence | Represents a weighted sequence of outcomes.
  SequenceClassificationModel<T> | A classification model that can label an input sequence.
  SequenceCodec<T> |
  SequenceStream | Interface for streams of sequences used to train sequence models.
  SequenceStreamEventStream | Class which turns a sequence stream into an event stream.
  SequenceTrainer |
  SequenceValidator<T> |
  SerializableArtifact |
  SgmlParser | SAX style SGML parser.
  SgmlParser.ContentHandler |
  ShrinkCharSequenceNormalizer | Normalizer to shrink repeated spaces / chars
  SimplePerceptronSequenceTrainer | Trains models for sequences using the perceptron algorithm.
  SimpleTokenizer | Performs tokenization using character classes.
  SimpleTokenizerTool |
  SnowballStemmer |
  SnowballStemmer.ALGORITHM |
  Span | Class for storing start and end integer offsets.
  SpanAnnotation |
  Stemmer | The stemmer is reducing a word to its stem.
  StringList | The `StringList` is an immutable list of `String`s.
  StringPattern | Recognizes predefined patterns in strings.
  StringUtil |
  SuffixFeatureGenerator |
  SuffixFeatureGeneratorFactory |
  TagDictionary | Interface to determine which tags are valid for a particular word based on a tag dictionary.
  TaggerModelReplacerTool |
  TokenClassFeatureGenerator | Generates features for different for the class of the token.
  TokenClassFeatureGeneratorFactory |
  TokenContextGenerator | Interface for `TokenizerME` context generators.
  TokenEvaluationErrorListener | A default implementation of `EvaluationMonitor` that prints to an output stream.
  TokenFeatureGenerator | Generates a feature which contains the token itself.
  TokenFeatureGeneratorFactory |
  Tokenizer | The interface for tokenizers, which segment a string into its tokens.
  TokenizerConverterTool |
  TokenizerCrossValidator |
  TokenizerCrossValidatorTool |
  TokenizerEvaluationMonitor |
  TokenizerEvaluator | The `TokenizerEvaluator` measures the performance of the given `Tokenizer` with the provided reference `TokenSample`s.
  TokenizerFactory | The factory that provides `Tokenizer` default implementations and resources.
  TokenizerME | A Tokenizer for converting raw text into separated tokens.
  TokenizerMEEvaluatorTool |
  TokenizerMETool |
  TokenizerModel | The `TokenizerModel` is the model used by a learnable `Tokenizer`.
  TokenizerModelLoader | Loads a Tokenizer Model for the command line tools.
  TokenizerStream | The `TokenizerStream` uses a tokenizer to tokenize the input string and output `TokenSample`s.
  TokenizerTrainerTool |
  TokenNameFinder | The interface for name finders which provide name tags for a sequence of tokens.
  TokenNameFinderConverterTool | Tool to convert multiple data formats into native OpenNLP name finder training format.
  TokenNameFinderCrossValidator |
  TokenNameFinderCrossValidatorTool |
  TokenNameFinderDetailedFMeasureListener |
  TokenNameFinderEvaluationMonitor |
  TokenNameFinderEvaluator | The `TokenNameFinderEvaluator` measures the performance of the given `TokenNameFinder` with the provided reference `NameSample`s.
  TokenNameFinderEvaluatorTool |
  TokenNameFinderFactory |
  TokenNameFinderFineGrainedReportListener | Generates a detailed report for the NameFinder.
  TokenNameFinderModel | The `TokenNameFinderModel` is the model used by a learnable `TokenNameFinder`.
  TokenNameFinderModel.FeatureGeneratorCreationError |
  TokenNameFinderModelLoader | Loads a Token Name Finder Model for the command line tools.
  TokenNameFinderTool |
  TokenNameFinderTrainerTool |
  TokenPatternFeatureGenerator | 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.
  TokenPatternFeatureGeneratorFactory |
  TokenSample | A `TokenSample` is text with token spans.
  TokenSampleStream | Class which produces an Iterator<TokenSample> from a file of space delimited token.
  TokenSampleStream | This class is a stream filter which reads in string encoded samples and creates `TokenSample`s out of them.
  TokenSampleStreamFactory | Factory producing OpenNLP `TokenSampleStream`s.
  TokenTag |
  TokSpanEventStream | This class reads the `TokenSample`s from the given `Iterator` and converts the `TokenSample`s into `Event`s which can be used by the maxent library for training.
  TrainerFactory |
  TrainerFactory.TrainerType |
  TrainingParameters |
  TrainingToolParams | Common training parameters.
  TrigramNameFeatureGenerator | Adds trigram features based on tokens and token classes.
  TrigramNameFeatureGeneratorFactory |
  TwentyNewsgroupSampleStream |
  TwentyNewsgroupSampleStreamFactory |
  TwitterCharSequenceNormalizer | Normalizer for Twitter character sequences
  TwoPassDataIndexer | Collecting event and context counts by making two passes over the events.
  UncloseableInputStream | An `InputStream` which cannot be closed.
  UniformPrior | Provide a maximum entropy model with a uniform prior.
  UrlCharSequenceNormalizer | Normalizer that removes URls and email addresses.
  Version | The `Version` class represents the OpenNlp Tools library version.
  WhitespaceTokenizer | This tokenizer uses white spaces to tokenize the input text.
  WhitespaceTokenStream | This stream formats a `TokenSample`s into whitespace separated token strings.
  WindowFeatureGenerator | Generates previous and next features for a given `AdaptiveFeatureGenerator`.
  WindowFeatureGeneratorFactory |
  WordClusterDictionary |
  WordClusterDictionary.WordClusterDictionarySerializer |
  WordClusterFeatureGenerator |
  WordClusterFeatureGeneratorFactory | Defines a word cluster generator factory; it reads an element containing 'w2vwordcluster' as a tag name; these clusters are typically produced by word2vec or clark pos induction systems.
  WordpieceTokenizer | A WordPiece tokenizer.
  WordTagSampleStream | A stream filter which reads a sentence per line which contains words and tags in word_tag format and outputs a `POSSample` objects.
  WordTagSampleStreamFactory | Note: Do not use this class, internal use only!
  WordTagSampleStreamFactory.Parameters |
  WordVector | A word vector.
  WordVectorTable | A table that maps tokens to word vectors.
  WordVectorType |
  XmlUtil |