opennlp.tools.tokenize (Apache OpenNLP Tools 2.5.9 API)
Description: declaration: package: opennlp.tools.tokenize

# Package opennlp.tools.tokenize

package opennlp.tools.tokenize
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.

- Related Packages
  Package
  Description
  opennlp.tools.tokenize.lang
- Class
  Description
  DefaultTokenContextGenerator
  A default `TokenContextGenerator` which produces events for maxent decisions for tokenization.
  DetokenizationDictionary
  DetokenizationDictionary.Operation
  Detokenizer
  A `Detokenizer` merges tokens back to their detokenized 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 `samples`.
  DictionaryDetokenizer
  A rule based detokenizer.
  SimpleTokenizer
  A basic `Tokenizer` implementation which performs tokenization using character classes.
  ThreadSafeTokenizerME
  A thread-safe version of `TokenizerME`.
  TokenContextGenerator
  Interface for context generators required for `TokenizerME`.
  Tokenizer
  The interface for tokenizers, which segment a string into its tokens.
  TokenizerCrossValidator
  A cross validator for `tokenizers`.
  TokenizerEvaluationMonitor
  A marker interface for evaluating `tokenizers`.
  TokenizerEvaluator
  The `TokenizerEvaluator` measures the performance of the given `Tokenizer` with the provided reference `samples`.
  TokenizerFactory
  The factory that provides `Tokenizer` default implementation 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 `samples`.
  TokenSample
  A `TokenSample` is text with token spans.
  TokenSampleStream
  This class is a `stream filter` which reads in string encoded samples and creates `samples` out of them.
  TokSpanEventStream
  This class reads the `samples` via an `Iterator` and converts the samples into `events` which can be used by the maxent library for training.
  WhitespaceTokenizer
  A basic `Tokenizer` implementation which performs tokenization using white spaces.
  WhitespaceTokenStream
  This stream formats `ObjectStream` of `samples` into whitespace separated token strings.
  WordpieceTokenizer
  A `Tokenizer` implementation which performs tokenization using word pieces.