Package opennlp.tools.tokenize

Contains classes related to finding token or words in a string.

See: Description

Interface Summary

Interface	Description
Detokenizer	A Detokenizer merges tokens back to their untokenized representation.
TokenContextGenerator	Interface for TokenizerME context generators.
Tokenizer	The interface for tokenizers, which segment a string into its tokens.
TokenizerEvaluationMonitor

Class Summary

Class	Description
DefaultTokenContextGenerator	Generate events for maxent decisions for tokenization.
DetokenizationDictionary
DictionaryDetokenizer	A rule based detokenizer.
SimpleTokenizer	Performs tokenization using character classes.
TokenizerCrossValidator
TokenizerEvaluator	The TokenizerEvaluator measures the performance of the given Tokenizer with the provided reference TokenSamples.
TokenizerFactory	The factory that provides Tokenizer default implementations and resources.
TokenizerME	A Tokenizer for converting raw text into separated tokens.
TokenizerModel	The TokenizerModel is the model used by a learnable Tokenizer.
TokenizerStream	The TokenizerStream uses a tokenizer to tokenize the input string and output TokenSamples.
TokenSample	A TokenSample is text with token spans.
TokenSampleStream	This class is a stream filter which reads in string encoded samples and creates TokenSamples out of them.
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.
WhitespaceTokenizer	This tokenizer uses white spaces to tokenize the input text.
WhitespaceTokenStream	This stream formats a TokenSamples into whitespace separated token strings.

Enum Summary

Enum	Description
DetokenizationDictionary.Operation
Detokenizer.DetokenizationOperation	This enum contains an operation for every token to merge the tokens together to their detokenized form.

Package opennlp.tools.tokenize Description

Contains classes related to finding token or words in a string. All tokenizer implement the Tokenizer interface. Currently there is the learnable TokenizerME, the WhitespaceTokenizer and the SimpleTokenizer which is a character class tokenizer.