Uses of Interface
opennlp.tools.util.ObjectStream

Packages that use ObjectStream

Package	Description
opennlp.tools.chunker	Package related to finding non-recursive syntactic annotation such as noun phrase chunks.
opennlp.tools.doccat	Package for classifying a document into a category.
opennlp.tools.formats	Experimental package related to converting various corpora to OpenNLP Format.
opennlp.tools.formats.ad
opennlp.tools.formats.brat
opennlp.tools.formats.conllu
opennlp.tools.formats.convert
opennlp.tools.formats.frenchtreebank
opennlp.tools.formats.letsmt
opennlp.tools.formats.moses
opennlp.tools.formats.muc
opennlp.tools.formats.ontonotes
opennlp.tools.lemmatizer	Package related with the lemmatizer tool
opennlp.tools.ml
opennlp.tools.ml.maxent	Provides main functionality of the maxent package including data structures and algorithms for parameter estimation.
opennlp.tools.ml.model
opennlp.tools.namefind	Package related to finding proper names and numeric amounts.
opennlp.tools.parser	Package containing common code for performing full syntactic parsing.
opennlp.tools.parser.chunking	Package containing code for performing full syntactic parsing using shift/reduce-style decisions.
opennlp.tools.parser.treeinsert	Package containing experimental code for performing full syntactic parsing using attachment decisions.
opennlp.tools.postag	Package related to part-of-speech tagging.
opennlp.tools.sentdetect	Package related to identifying sentece boundries.
opennlp.tools.tokenize	Contains classes related to finding token or words in a string.
opennlp.tools.util	Package containing utility data structures and algorithms used by multiple other packages.
opennlp.tools.util.eval

Uses of ObjectStream in opennlp.tools.chunker

Classes in opennlp.tools.chunker that implement ObjectStream

Modifier and Type	Class and Description
class	ChunkerEventStream Class for creating an event stream out of data files for training a chunker.
class	ChunkSampleSequenceStream

Methods in opennlp.tools.chunker with parameters of type ObjectStream

Modifier and Type	Method and Description
void	ChunkerCrossValidator.evaluate(ObjectStream<ChunkSample> samples, int nFolds) Starts the evaluation.
static ChunkerModel	ChunkerME.train(String lang, ObjectStream<ChunkSample> in, TrainingParameters mlParams, ChunkerFactory factory)

Constructors in opennlp.tools.chunker with parameters of type ObjectStream

Constructor and Description
ChunkerEventStream(ObjectStream<ChunkSample> d, ChunkerContextGenerator cg) Creates a new event stream based on the specified data stream using the specified context generator.
ChunkSampleSequenceStream(ObjectStream<ChunkSample> samples, ChunkerContextGenerator contextGenerator)
ChunkSampleStream(ObjectStream<String> samples) Initializes the current instance.

Uses of ObjectStream in opennlp.tools.doccat

Classes in opennlp.tools.doccat that implement ObjectStream

Modifier and Type	Class and Description
class	DocumentCategorizerEventStream Iterator-like class for modeling document classification events.
class	DocumentSampleStream This class reads in string encoded training samples, parses them and outputs DocumentSample objects.

Methods in opennlp.tools.doccat with parameters of type ObjectStream

Modifier and Type	Method and Description
void	DoccatCrossValidator.evaluate(ObjectStream<DocumentSample> samples, int nFolds) Starts the evaluation.
static DoccatModel	DocumentCategorizerME.train(String languageCode, ObjectStream<DocumentSample> samples, TrainingParameters mlParams, DoccatFactory factory)

Constructors in opennlp.tools.doccat with parameters of type ObjectStream

Constructor and Description
DocumentCategorizerEventStream(ObjectStream<DocumentSample> samples) Initializes the current instance.
DocumentCategorizerEventStream(ObjectStream<DocumentSample> data, FeatureGenerator... featureGenerators) Initializes the current instance via samples and feature generators.
DocumentSampleStream(ObjectStream<String> samples)

Uses of ObjectStream in opennlp.tools.formats

Classes in opennlp.tools.formats that implement ObjectStream

Modifier and Type	Class and Description
class	BioNLP2004NameSampleStream Parser for the training files of the BioNLP/NLPBA 2004 shared task.
class	Conll02NameSampleStream Parser for the dutch and spanish ner training files of the CONLL 2002 shared task.
class	Conll03NameSampleStream An import stream which can parse the CONLL03 data.
class	ConllXPOSSampleStream Parses the data from the CONLL 06 shared task into POS Samples.
class	DirectorySampleStream The directory sample stream allows for creating a stream from a directory listing of files.
class	EvalitaNameSampleStream Parser for the Italian NER training files of the Evalita 2007 and 2009 NER shared tasks.
class	LeipzigDoccatSampleStream Stream filter to produce document samples out of a Leipzig sentences.txt file.
class	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.

Methods in opennlp.tools.formats that return ObjectStream

Modifier and Type	Method and Description
ObjectStream<NameSample>	Conll03NameSampleStreamFactory.create(String[] args)
ObjectStream<TokenSample>	ConllXTokenSampleStreamFactory.create(String[] args)
ObjectStream<NameSample>	BioNLP2004NameSampleStreamFactory.create(String[] args)
ObjectStream<POSSample>	ConllXPOSSampleStreamFactory.create(String[] args)
ObjectStream<DocumentSample>	DocumentSampleStreamFactory.create(String[] args)
ObjectStream<LemmaSample>	LemmatizerSampleStreamFactory.create(String[] args)
ObjectStream<SentenceSample>	ConllXSentenceSampleStreamFactory.create(String[] args)
ObjectStream<Parse>	ParseSampleStreamFactory.create(String[] args)
ObjectStream<ChunkSample>	ChunkerSampleStreamFactory.create(String[] args)
ObjectStream<POSSample>	WordTagSampleStreamFactory.create(String[] args)
ObjectStream<DocumentSample>	LeipzigDocumentSampleStreamFactory.create(String[] args)
ObjectStream<SentenceSample>	SentenceSampleStreamFactory.create(String[] args)
ObjectStream<NameSample>	EvalitaNameSampleStreamFactory.create(String[] args)
ObjectStream<TokenSample>	TokenSampleStreamFactory.create(String[] args)
ObjectStream<NameSample>	NameSampleDataStreamFactory.create(String[] args)
ObjectStream<NameSample>	Conll02NameSampleStreamFactory.create(String[] args)

Constructors in opennlp.tools.formats with parameters of type ObjectStream

Constructor and Description
Conll02NameSampleStream(Conll02NameSampleStream.LANGUAGE lang, ObjectStream<String> lineStream, int types)
Conll03NameSampleStream(Conll03NameSampleStream.LANGUAGE lang, ObjectStream<String> lineStream, int types)
ConllXPOSSampleStream(ObjectStream<String> lineStream)
EvalitaNameSampleStream(EvalitaNameSampleStream.LANGUAGE lang, ObjectStream<String> lineStream, int types)
NameFinderCensus90NameStream(ObjectStream<String> lineStream) This constructor takes an ObjectStream and initializes the class to handle the stream.

Uses of ObjectStream in opennlp.tools.formats.ad

Classes in opennlp.tools.formats.ad that implement ObjectStream

Modifier and Type	Class and Description
class	ADChunkSampleStream Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese Chunker training.
class	ADNameSampleStream Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese NER training.
class	ADPOSSampleStream Note: Do not use this class, internal use only!
class	ADSentenceSampleStream Note: Do not use this class, internal use only!
class	ADSentenceStream Stream filter which merges text lines into sentences, following the Arvores Deitadas syntax.

Fields in opennlp.tools.formats.ad declared as ObjectStream

Modifier and Type	Field and Description
protected ObjectStream<ADSentenceStream.Sentence>	ADChunkSampleStream.adSentenceStream

Methods in opennlp.tools.formats.ad that return ObjectStream

Modifier and Type	Method and Description
ObjectStream<POSSample>	ADPOSSampleStreamFactory.create(String[] args)
ObjectStream<ChunkSample>	ADChunkSampleStreamFactory.create(String[] args)
ObjectStream<TokenSample>	ADTokenSampleStreamFactory.create(String[] args)
ObjectStream<NameSample>	ADNameSampleStreamFactory.create(String[] args)
ObjectStream<SentenceSample>	ADSentenceSampleStreamFactory.create(String[] args)

Constructors in opennlp.tools.formats.ad with parameters of type ObjectStream

Constructor and Description
ADChunkSampleStream(ObjectStream<String> lineStream) Creates a new NameSample stream from a line stream, i.e.
ADNameSampleStream(ObjectStream<String> lineStream, boolean splitHyphenatedTokens) Creates a new NameSample stream from a line stream, i.e.
ADPOSSampleStream(ObjectStream<String> lineStream, boolean expandME, boolean includeFeatures) Creates a new POSSample stream from a line stream, i.e.
ADSentenceSampleStream(ObjectStream<String> lineStream, boolean includeHeadlines) Creates a new SentenceSample stream from a line stream, i.e.
ADSentenceStream(ObjectStream<String> lineStream)

Uses of ObjectStream in opennlp.tools.formats.brat

Classes in opennlp.tools.formats.brat that implement ObjectStream

Modifier and Type	Class and Description
class	BratAnnotationStream Reads the annotations from the brat .ann annotation file.
class	BratDocumentStream
class	BratNameSampleStream Generates Name Sample objects for a Brat Document object.
class	SegmenterObjectStream<S,T>

Methods in opennlp.tools.formats.brat that return ObjectStream

Modifier and Type	Method and Description
ObjectStream<NameSample>	BratNameSampleStreamFactory.create(String[] args)

Constructors in opennlp.tools.formats.brat with parameters of type ObjectStream

Constructor and Description
BratNameSampleStream(SentenceDetector sentDetector, Tokenizer tokenizer, ObjectStream<BratDocument> samples)
BratNameSampleStream(SentenceModel sentModel, TokenizerModel tokenModel, ObjectStream<BratDocument> samples)
SegmenterObjectStream(ObjectStream<S> in)

Uses of ObjectStream in opennlp.tools.formats.conllu

Classes in opennlp.tools.formats.conllu that implement ObjectStream

Modifier and Type	Class and Description
class	ConlluLemmaSampleStream
class	ConlluPOSSampleStream
class	ConlluStream The CoNNL-U Format is specified here: http://universaldependencies.org/format.html

Methods in opennlp.tools.formats.conllu that return ObjectStream

Modifier and Type	Method and Description
ObjectStream<POSSample>	ConlluPOSSampleStreamFactory.create(String[] args)
ObjectStream<LemmaSample>	ConlluLemmaSampleStreamFactory.create(String[] args)

Constructors in opennlp.tools.formats.conllu with parameters of type ObjectStream

Constructor and Description
ConlluLemmaSampleStream(ObjectStream<ConlluSentence> samples, ConlluTagset tagset)

Uses of ObjectStream in opennlp.tools.formats.convert

Classes in opennlp.tools.formats.convert that implement ObjectStream

Modifier and Type	Class and Description
class	AbstractToSentenceSampleStream<T>
class	FileToByteArraySampleStream
class	FileToStringSampleStream Provides the ability to read the contents of files contained in an object stream of files.
class	NameToSentenceSampleStream Note: Do not use this class, internal use only!
class	NameToTokenSampleStream Note: Do not use this class, internal use only!
class	ParseToPOSSampleStream Note: Do not use this class, internal use only!
class	POSToSentenceSampleStream Note: Do not use this class, internal use only!
class	POSToTokenSampleStream Note: Do not use this class, internal use only!

Methods in opennlp.tools.formats.convert that return ObjectStream

Modifier and Type	Method and Description
ObjectStream<TokenSample>	NameToTokenSampleStreamFactory.create(String[] args)
ObjectStream<SentenceSample>	POSToSentenceSampleStreamFactory.create(String[] args)
ObjectStream<SentenceSample>	ParseToSentenceSampleStreamFactory.create(String[] args)
ObjectStream<SentenceSample>	NameToSentenceSampleStreamFactory.create(String[] args)
ObjectStream<TokenSample>	POSToTokenSampleStreamFactory.create(String[] args)
ObjectStream<TokenSample>	ParseToTokenSampleStreamFactory.create(String[] args)
ObjectStream<POSSample>	ParseToPOSSampleStreamFactory.create(String[] args)

Constructors in opennlp.tools.formats.convert with parameters of type ObjectStream

Constructor and Description
FileToByteArraySampleStream(ObjectStream<File> samples)
FileToStringSampleStream(ObjectStream<File> samples, Charset encoding) Creates a new file-to-string sample stream.
NameToSentenceSampleStream(Detokenizer detokenizer, ObjectStream<NameSample> samples, int chunkSize)
NameToTokenSampleStream(Detokenizer detokenizer, ObjectStream<NameSample> samples)
ParseToPOSSampleStream(ObjectStream<Parse> samples)
POSToSentenceSampleStream(Detokenizer detokenizer, ObjectStream<POSSample> samples, int chunkSize)
POSToTokenSampleStream(Detokenizer detokenizer, ObjectStream<POSSample> samples)

Uses of ObjectStream in opennlp.tools.formats.frenchtreebank

Classes in opennlp.tools.formats.frenchtreebank that implement ObjectStream

Modifier and Type	Class and Description
class	ConstitParseSampleStream

Methods in opennlp.tools.formats.frenchtreebank that return ObjectStream

Modifier and Type	Method and Description
ObjectStream<Parse>	ConstitParseSampleStreamFactory.create(String[] args)

Constructors in opennlp.tools.formats.frenchtreebank with parameters of type ObjectStream

Constructor and Description
ConstitParseSampleStream(ObjectStream<byte[]> samples)

Uses of ObjectStream in opennlp.tools.formats.letsmt

Classes in opennlp.tools.formats.letsmt that implement ObjectStream

Modifier and Type	Class and Description
class	DetokenizeSentenceSampleStream

Methods in opennlp.tools.formats.letsmt that return ObjectStream

Modifier and Type	Method and Description
ObjectStream<SentenceSample>	LetsmtSentenceStreamFactory.create(String[] args)

Constructors in opennlp.tools.formats.letsmt with parameters of type ObjectStream

Constructor and Description
DetokenizeSentenceSampleStream(Detokenizer detokenizer, ObjectStream<SentenceSample> samples)

Uses of ObjectStream in opennlp.tools.formats.moses

Classes in opennlp.tools.formats.moses that implement ObjectStream

Modifier and Type	Class and Description
class	MosesSentenceSampleStream

Methods in opennlp.tools.formats.moses that return ObjectStream

Modifier and Type	Method and Description
ObjectStream<SentenceSample>	MosesSentenceSampleStreamFactory.create(String[] args)

Constructors in opennlp.tools.formats.moses with parameters of type ObjectStream

Constructor and Description
MosesSentenceSampleStream(ObjectStream<String> sentences)

Uses of ObjectStream in opennlp.tools.formats.muc

Classes in opennlp.tools.formats.muc that implement ObjectStream

Modifier and Type	Class and Description
class	MucNameSampleStream

Methods in opennlp.tools.formats.muc that return ObjectStream

Modifier and Type	Method and Description
ObjectStream<NameSample>	Muc6NameSampleStreamFactory.create(String[] args)

Constructors in opennlp.tools.formats.muc with parameters of type ObjectStream

Constructor and Description
MucNameSampleStream(Tokenizer tokenizer, ObjectStream<String> samples)

Uses of ObjectStream in opennlp.tools.formats.ontonotes

Classes in opennlp.tools.formats.ontonotes that implement ObjectStream

Modifier and Type	Class and Description
class	DocumentToLineStream Reads a plain text file and return each line as a String object.
class	OntoNotesNameSampleStream Name Sample Stream parser for the OntoNotes 4.0 corpus.
class	OntoNotesParseSampleStream

Methods in opennlp.tools.formats.ontonotes that return ObjectStream

Modifier and Type	Method and Description
ObjectStream<NameSample>	OntoNotesNameSampleStreamFactory.create(String[] args)
ObjectStream<POSSample>	OntoNotesPOSSampleStreamFactory.create(String[] args)
ObjectStream<Parse>	OntoNotesParseSampleStreamFactory.create(String[] args)

Constructors in opennlp.tools.formats.ontonotes with parameters of type ObjectStream

Constructor and Description
DocumentToLineStream(ObjectStream<String> samples)
OntoNotesNameSampleStream(ObjectStream<String> samples)
OntoNotesParseSampleStream(ObjectStream<String> samples)

Uses of ObjectStream in opennlp.tools.lemmatizer

Classes in opennlp.tools.lemmatizer that implement ObjectStream

Modifier and Type	Class and Description
class	LemmaSampleEventStream Class for creating an event stream out of data files for training a probabilistic lemmatizer.
class	LemmaSampleSequenceStream
class	LemmaSampleStream Reads data for training and testing the lemmatizer.

Methods in opennlp.tools.lemmatizer with parameters of type ObjectStream

Modifier and Type	Method and Description
static LemmatizerModel	LemmatizerME.train(String languageCode, ObjectStream<LemmaSample> samples, TrainingParameters trainParams, LemmatizerFactory posFactory)

Constructors in opennlp.tools.lemmatizer with parameters of type ObjectStream

Constructor and Description
LemmaSampleEventStream(ObjectStream<LemmaSample> d, LemmatizerContextGenerator cg) Creates a new event stream based on the specified data stream using the specified context generator.
LemmaSampleSequenceStream(ObjectStream<LemmaSample> samples, LemmatizerContextGenerator contextGenerator)
LemmaSampleStream(ObjectStream<String> samples)

Uses of ObjectStream in opennlp.tools.ml

Methods in opennlp.tools.ml with parameters of type ObjectStream

Modifier and Type	Method and Description
DataIndexer	AbstractEventTrainer.getDataIndexer(ObjectStream<Event> events)
MaxentModel	AbstractEventTrainer.train(ObjectStream<Event> events)
MaxentModel	EventTrainer.train(ObjectStream<Event> events)

Uses of ObjectStream in opennlp.tools.ml.maxent

Classes in opennlp.tools.ml.maxent that implement ObjectStream

Modifier and Type	Class and Description
class	RealBasicEventStream

Methods in opennlp.tools.ml.maxent with parameters of type ObjectStream

Modifier and Type	Method and Description
GISModel	GISTrainer.trainModel(ObjectStream<Event> eventStream) Train a model using the GIS algorithm, assuming 100 iterations and no cutoff.
GISModel	GISTrainer.trainModel(ObjectStream<Event> eventStream, int iterations, int cutoff) Trains a GIS model on the event in the specified event stream, using the specified number of iterations and the specified count cutoff.

Constructors in opennlp.tools.ml.maxent with parameters of type ObjectStream

Constructor and Description
RealBasicEventStream(ObjectStream<String> ds)

Uses of ObjectStream in opennlp.tools.ml.model

Subinterfaces of ObjectStream in opennlp.tools.ml.model

Modifier and Type	Interface and Description
interface	SequenceStream Interface for streams of sequences used to train sequence models.

Classes in opennlp.tools.ml.model that implement ObjectStream

Modifier and Type	Class and Description
class	FileEventStream Class for using a file of events as an event stream.
class	HashSumEventStream
class	RealValueFileEventStream
class	SequenceStreamEventStream Class which turns a sequence stream into an event stream.

Methods in opennlp.tools.ml.model with parameters of type ObjectStream

Modifier and Type	Method and Description
void	OnePassDataIndexer.index(ObjectStream<Event> eventStream)
void	DataIndexer.index(ObjectStream<Event> eventStream) Performs the data indexing.
void	TwoPassDataIndexer.index(ObjectStream<Event> eventStream)

Constructors in opennlp.tools.ml.model with parameters of type ObjectStream

Constructor and Description
HashSumEventStream(ObjectStream<Event> eventStream)

Uses of ObjectStream in opennlp.tools.namefind

Classes in opennlp.tools.namefind that implement ObjectStream

Modifier and Type	Class and Description
class	NameFinderEventStream Class for creating an event stream out of data files for training an name finder.
class	NameSampleDataStream The NameSampleDataStream class converts tagged Strings provided by a DataStream to NameSample objects.
class	NameSampleSequenceStream
class	NameSampleTypeFilter A stream which removes Name Samples which do not have a certain type.

Methods in opennlp.tools.namefind with parameters of type ObjectStream

Modifier and Type	Method and Description
void	TokenNameFinderCrossValidator.evaluate(ObjectStream<NameSample> samples, int nFolds) Starts the evaluation.
static TokenNameFinderModel	NameFinderME.train(String languageCode, String type, ObjectStream<NameSample> samples, TrainingParameters trainParams, TokenNameFinderFactory factory)

Constructors in opennlp.tools.namefind with parameters of type ObjectStream

Constructor and Description
NameFinderEventStream(ObjectStream<NameSample> dataStream)
NameFinderEventStream(ObjectStream<NameSample> dataStream, String type, NameContextGenerator contextGenerator, SequenceCodec<String> codec) Creates a new name finder event stream using the specified data stream and context generator.
NameSampleDataStream(ObjectStream<String> in)
NameSampleSequenceStream(ObjectStream<NameSample> psi)
NameSampleSequenceStream(ObjectStream<NameSample> psi, AdaptiveFeatureGenerator featureGen)
NameSampleSequenceStream(ObjectStream<NameSample> psi, AdaptiveFeatureGenerator featureGen, boolean useOutcomes)
NameSampleSequenceStream(ObjectStream<NameSample> psi, NameContextGenerator pcg)
NameSampleSequenceStream(ObjectStream<NameSample> psi, NameContextGenerator pcg, boolean useOutcomes)
NameSampleSequenceStream(ObjectStream<NameSample> psi, NameContextGenerator pcg, boolean useOutcomes, SequenceCodec<String> seqCodec)
NameSampleTypeFilter(Set<String> types, ObjectStream<NameSample> samples)
NameSampleTypeFilter(String[] types, ObjectStream<NameSample> samples)

Uses of ObjectStream in opennlp.tools.parser

Classes in opennlp.tools.parser that implement ObjectStream

Modifier and Type	Class and Description
class	AbstractParserEventStream Abstract class extended by parser event streams which perform tagging and chunking.
class	ChunkSampleStream
class	ParseSampleStream
class	PosSampleStream

Methods in opennlp.tools.parser with parameters of type ObjectStream

Modifier and Type	Method and Description
static Dictionary	AbstractBottomUpParser.buildDictionary(ObjectStream<Parse> data, HeadRules rules, int cutoff) Creates a n-gram dictionary from the specified data stream using the specified head rule and specified cut-off.
static Dictionary	AbstractBottomUpParser.buildDictionary(ObjectStream<Parse> data, HeadRules rules, TrainingParameters params) Creates a n-gram dictionary from the specified data stream using the specified head rule and specified cut-off.
void	ParserCrossValidator.evaluate(ObjectStream<Parse> samples, int nFolds)

Constructors in opennlp.tools.parser with parameters of type ObjectStream

Constructor and Description
AbstractParserEventStream(ObjectStream<Parse> d, HeadRules rules, ParserEventTypeEnum etype)
AbstractParserEventStream(ObjectStream<Parse> d, HeadRules rules, ParserEventTypeEnum etype, Dictionary dict)
ChunkSampleStream(ObjectStream<Parse> in)
ParseSampleStream(ObjectStream<String> in)
PosSampleStream(ObjectStream<Parse> in)

Uses of ObjectStream in opennlp.tools.parser.chunking

Classes in opennlp.tools.parser.chunking that implement ObjectStream

Modifier and Type	Class and Description
class	ParserEventStream Wrapper class for one of four parser event streams.

Methods in opennlp.tools.parser.chunking with parameters of type ObjectStream

Modifier and Type	Method and Description
static ParserModel	Parser.train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, TrainingParameters mlParams)

Constructors in opennlp.tools.parser.chunking with parameters of type ObjectStream

Constructor and Description
ParserEventStream(ObjectStream<Parse> d, HeadRules rules, ParserEventTypeEnum etype)
ParserEventStream(ObjectStream<Parse> d, HeadRules rules, ParserEventTypeEnum etype, Dictionary dict) Create an event stream based on the specified data stream of the specified type using the specified head rules.

Uses of ObjectStream in opennlp.tools.parser.treeinsert

Methods in opennlp.tools.parser.treeinsert with parameters of type ObjectStream

Modifier and Type	Method and Description
static ParserModel	Parser.train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, int iterations, int cut)
static ParserModel	Parser.train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, TrainingParameters mlParams)

Constructors in opennlp.tools.parser.treeinsert with parameters of type ObjectStream

Constructor and Description
ParserEventStream(ObjectStream<Parse> d, HeadRules rules, ParserEventTypeEnum etype)
ParserEventStream(ObjectStream<Parse> d, HeadRules rules, ParserEventTypeEnum etype, Dictionary dict)

Uses of ObjectStream in opennlp.tools.postag

Classes in opennlp.tools.postag that implement ObjectStream

Modifier and Type	Class and Description
class	POSSampleEventStream This class reads the POSSamples from the given Iterator and converts the POSSamples into Events which can be used by the maxent library for training.
class	POSSampleSequenceStream
class	WordTagSampleStream A stream filter which reads a sentence per line which contains words and tags in word_tag format and outputs a POSSample objects.

Methods in opennlp.tools.postag with parameters of type ObjectStream

Modifier and Type	Method and Description
static Dictionary	POSTaggerME.buildNGramDictionary(ObjectStream<POSSample> samples, int cutoff)
void	POSTaggerCrossValidator.evaluate(ObjectStream<POSSample> samples, int nFolds) Starts the evaluation.
static void	POSTaggerME.populatePOSDictionary(ObjectStream<POSSample> samples, MutableTagDictionary dict, int cutoff)
static POSModel	POSTaggerME.train(String languageCode, ObjectStream<POSSample> samples, TrainingParameters trainParams, POSTaggerFactory posFactory)

Constructors in opennlp.tools.postag with parameters of type ObjectStream

Constructor and Description
POSSampleEventStream(ObjectStream<POSSample> samples) Initializes the current instance with given samples and a DefaultPOSContextGenerator.
POSSampleEventStream(ObjectStream<POSSample> samples, POSContextGenerator cg) Initializes the current instance with the given samples and the given POSContextGenerator.
POSSampleSequenceStream(ObjectStream<POSSample> psi)
POSSampleSequenceStream(ObjectStream<POSSample> psi, POSContextGenerator pcg)
WordTagSampleStream(ObjectStream<String> sentences) Initializes the current instance.

Uses of ObjectStream in opennlp.tools.sentdetect

Classes in opennlp.tools.sentdetect that implement ObjectStream

Modifier and Type	Class and Description
class	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.
class	SDEventStream
class	SentenceSampleStream This class is a stream filter which reads a sentence by line samples from a Reader and converts them into SentenceSample objects.

Methods in opennlp.tools.sentdetect with parameters of type ObjectStream

Modifier and Type	Method and Description
void	SDCrossValidator.evaluate(ObjectStream<SentenceSample> samples, int nFolds) Starts the evaluation.
static SentenceModel	SentenceDetectorME.train(String languageCode, ObjectStream<SentenceSample> samples, boolean useTokenEnd, Dictionary abbreviations) Deprecated. Use SentenceDetectorME.train(String, ObjectStream, SentenceDetectorFactory, TrainingParameters) and pass in af SentenceDetectorFactory.
static SentenceModel	SentenceDetectorME.train(String languageCode, ObjectStream<SentenceSample> samples, boolean useTokenEnd, Dictionary abbreviations, TrainingParameters mlParams) Deprecated. Use SentenceDetectorME.train(String, ObjectStream, SentenceDetectorFactory, TrainingParameters) and pass in af SentenceDetectorFactory.
static SentenceModel	SentenceDetectorME.train(String languageCode, ObjectStream<SentenceSample> samples, SentenceDetectorFactory sdFactory, TrainingParameters mlParams)

Constructors in opennlp.tools.sentdetect with parameters of type ObjectStream

Constructor and Description
EmptyLinePreprocessorStream(ObjectStream<String> in)
SDEventStream(ObjectStream<SentenceSample> samples, SDContextGenerator cg, EndOfSentenceScanner scanner) Initializes the current instance.
SentenceSampleStream(ObjectStream<String> sentences)

Uses of ObjectStream in opennlp.tools.tokenize

Classes in opennlp.tools.tokenize that implement ObjectStream

Modifier and Type	Class and Description
class	TokenizerStream The TokenizerStream uses a tokenizer to tokenize the input string and output TokenSamples.
class	TokenSampleStream This class is a stream filter which reads in string encoded samples and creates TokenSamples out of them.
class	TokSpanEventStream This class reads the TokenSamples from the given Iterator and converts the TokenSamples into Events which can be used by the maxent library for training.
class	WhitespaceTokenStream This stream formats a TokenSamples into whitespace separated token strings.

Methods in opennlp.tools.tokenize with parameters of type ObjectStream

Modifier and Type	Method and Description
void	TokenizerCrossValidator.evaluate(ObjectStream<TokenSample> samples, int nFolds) Starts the evaluation.
static TokenizerModel	TokenizerME.train(ObjectStream<TokenSample> samples, TokenizerFactory factory, TrainingParameters mlParams) Trains a model for the TokenizerME.

Constructors in opennlp.tools.tokenize with parameters of type ObjectStream

Constructor and Description
TokenizerStream(Tokenizer tokenizer, ObjectStream<String> input)
TokenSampleStream(ObjectStream<String> sentences)
TokenSampleStream(ObjectStream<String> sampleStrings, String separatorChars)
TokSpanEventStream(ObjectStream<TokenSample> tokenSamples, boolean skipAlphaNumerics) Initializes the current instance.
TokSpanEventStream(ObjectStream<TokenSample> tokenSamples, boolean skipAlphaNumerics, Pattern alphaNumeric, TokenContextGenerator cg) Initializes the current instance.
TokSpanEventStream(ObjectStream<TokenSample> tokenSamples, boolean skipAlphaNumerics, TokenContextGenerator cg) Initializes the current instance.
WhitespaceTokenStream(ObjectStream<TokenSample> tokens)

Uses of ObjectStream in opennlp.tools.util

Classes in opennlp.tools.util that implement ObjectStream

Modifier and Type	Class and Description
class	AbstractEventStream<T>
class	AbstractObjectStream<T>
class	CollectionObjectStream<E>
class	EventTraceStream
class	FilterObjectStream<S,T> Abstract base class for filtering ObjectStreams.
class	ParagraphStream Stream filter which merges text lines into paragraphs.
class	PlainTextByLineStream Reads a plain text file and return each line as a String object.

Fields in opennlp.tools.util declared as ObjectStream

Modifier and Type	Field and Description
protected ObjectStream<S>	FilterObjectStream.samples

Methods in opennlp.tools.util that return ObjectStream

Modifier and Type	Method and Description
static <T> ObjectStream<T>	ObjectStreamUtils.createObjectStream(Collection<T> collection) Creates an ObjectStream form a collection.
static <T> ObjectStream<T>	ObjectStreamUtils.createObjectStream(ObjectStream<T>... streams) Creates a single concatenated ObjectStream from multiple individual ObjectStreams with the same type.
static <T> ObjectStream<T>	ObjectStreamUtils.createObjectStream(T... array) Creates an ObjectStream form an array.

Methods in opennlp.tools.util with parameters of type ObjectStream

Modifier and Type	Method and Description
static <T> ObjectStream<T>	ObjectStreamUtils.createObjectStream(ObjectStream<T>... streams) Creates a single concatenated ObjectStream from multiple individual ObjectStreams with the same type.

Constructors in opennlp.tools.util with parameters of type ObjectStream

Constructor and Description
AbstractEventStream(ObjectStream<T> samples) Initializes the current instance with a sample Iterator.
AbstractObjectStream(ObjectStream<T> stream)
EventTraceStream(ObjectStream<Event> stream, Writer writer)
FilterObjectStream(ObjectStream<S> samples)
ParagraphStream(ObjectStream<String> lineStream)

Uses of ObjectStream in opennlp.tools.util.eval

Classes in opennlp.tools.util.eval that implement ObjectStream

Modifier and Type	Class and Description
static class	CrossValidationPartitioner.TrainingSampleStream<E> The TrainingSampleStream which iterates over all training elements.

Methods in opennlp.tools.util.eval that return ObjectStream

Modifier and Type	Method and Description
ObjectStream<E>	CrossValidationPartitioner.TrainingSampleStream.getTestSampleStream() Retrieves the ObjectStream over the test/evaluations elements and poisons this TrainingSampleStream.

Methods in opennlp.tools.util.eval with parameters of type ObjectStream

Modifier and Type	Method and Description
void	Evaluator.evaluate(ObjectStream<T> samples) Reads all sample objects from the stream and evaluates each sample object with Evaluator.evaluateSample(Object) method.

Constructors in opennlp.tools.util.eval with parameters of type ObjectStream

Constructor and Description
CrossValidationPartitioner(ObjectStream<E> inElements, int numberOfPartitions) Initializes the current instance.