Uses of Class
de.fu_berlin.ties.text.TokenizerFactory

Packages that use TokenizerFactory
de.fu_berlin.ties.classify This package provides functionality for classification of texts and feature vectors. 
de.fu_berlin.ties.extract This package handles information extraction and entitiy recognition. 
de.fu_berlin.ties.filter This packages provides generic filtering functionality and an implementation for sentence filtering. 
de.fu_berlin.ties.text This package contains utility classes for working with texts. 
de.fu_berlin.ties.xml.dom This package contains utility classes for working with DOM-like XML representations, focussing especially on dom4j
 

Uses of TokenizerFactory in de.fu_berlin.ties.classify
 

Constructors in de.fu_berlin.ties.classify with parameters of type TokenizerFactory
ClassTrain(String outExt, TiesConfiguration conf, TokenizerFactory factory, String fileExt)
          Creates a new instance.
 

Uses of TokenizerFactory in de.fu_berlin.ties.extract
 

Methods in de.fu_berlin.ties.extract that return TokenizerFactory
 TokenizerFactory ExtractorBase.getFactory()
          Returns the factory used to instantiate tokenizers.
 

Constructors in de.fu_berlin.ties.extract with parameters of type TokenizerFactory
AnswerBuilder(String outExt, TargetStructure targetStruct, TokenizerFactory tFactory, TiesConfiguration config)
          Creates a new instance.
Extractor(String outExt, TargetStructure targetStruct, Classifier[] theClassifiers, Representation theRepresentation, CombinationStrategy combiStrat, TokenizerFactory tFactory, TrainableFilter sentFilter, Reranker rerank, Set<String> relevantPunct, TiesConfiguration config)
          Creates a new instance.
ExtractorBase(String outExt, TargetStructure targetStruct, Classifier[] theClassifiers, Representation theRepresentation, CombinationStrategy combiStrat, TokenizerFactory tFactory, TrainableFilter sentFilter, Set<String> relevantPunct, TiesConfiguration config)
          Creates a new instance.
Trainer(String outExt, TargetStructure targetStruct, TrainableClassifier[] theClassifiers, Representation theRepresentation, CombinationStrategy combiStrat, TokenizerFactory tFactory, TrainableFilter sentFilter)
          Creates a new instance, using the standard configuration to configure the training mode and the superclasses.
Trainer(String outExt, TargetStructure targetStruct, TrainableClassifier[] theClassifiers, Representation theRepresentation, CombinationStrategy combiStrat, TokenizerFactory tFactory, TrainableFilter sentFilter, Set<String> relevantPunct, boolean trainOnlyErrors, boolean testOnly, TiesConfiguration config)
          Creates a new instance.
 

Uses of TokenizerFactory in de.fu_berlin.ties.filter
 

Constructors in de.fu_berlin.ties.filter with parameters of type TokenizerFactory
EmbeddingElements(Document document, ExtractionContainer extractions, TokenizerFactory tFactory)
          Creates a new instance.
FilteringTokenWalker(TokenProcessor processor, TokenizerFactory tFactory, ElementFilter elementFilter, SkipHandler sHandler)
          Creates a new instance.
TrainableFilteringTokenWalker(TokenProcessor processor, TokenizerFactory tFactory, TrainableFilter elementFilter, SkipHandler sHandler, Oracle elementOracle)
          Creates a new instance, enabling training the filter.
TrainableFilteringTokenWalker(TokenProcessor processor, TokenizerFactory tFactory, TrainableFilter elementFilter, SkipHandler sHandler, Oracle elementOracle, boolean enableTraining)
          Creates a new instance.
 

Uses of TokenizerFactory in de.fu_berlin.ties.text
 

Constructors in de.fu_berlin.ties.text with parameters of type TokenizerFactory
TokenContainer(TokenizerFactory tFactory)
          Creates a new instance.
 

Uses of TokenizerFactory in de.fu_berlin.ties.xml.dom
 

Constructors in de.fu_berlin.ties.xml.dom with parameters of type TokenizerFactory
DocumentWalker(NodeFilter filter, ElementProcessor processor, TokenizerFactory tFactory)
          Creates a new instance.
TokenWalker(TokenProcessor processor, TokenizerFactory tFactory)
          Creates a new instance.
 



Copyright © 2003-2004 Christian Siefkes. All Rights Reserved.