# Package opennlp.tools.postag

package opennlp.tools.postag
Package related to part-of-speech tagging.

- Class
  Description
  ConfigurablePOSContextGenerator
  A configurable `context generator` for a `POSTagger`.
  DefaultPOSContextGenerator
  A default `context generator` for a `POSTagger`.
  DefaultPOSSequenceValidator
  The default POS tagger `SequenceValidator` implementation.
  MutableTagDictionary
  Interface that allows `TagDictionary` entries to be added and removed.
  POSContextGenerator
  Interface for a `BeamSearchContextGenerator` used in POS tagging.
  POSDictionary
  Provides a means of determining which tags are valid for a particular word based on a `TagDictionary` read from a file.
  POSEvaluator
  The `POSEvaluator` measures the performance of the given `POSTagger` with the provided reference `samples`.
  POSModel
  The `POSModel` is the model used by a learnable `POSTagger`.
  POSSample
  Represents an pos-tagged `sentence`.
  POSSampleEventStream
  Reads the `samples` from an `Iterator` and converts those samples into `events` which can be used by the maxent library for training.
  POSSampleSequenceStream
  A `SequenceStream` implementation encapsulating `samples`.
  POSTagFormat
  Defines the format for part-of-speech tagging, i.e.
  POSTagFormatMapper
  A mapping implementation for converting between different POS tag formats.
  POSTagger
  The interface for part of speech taggers.
  POSTaggerCrossValidator
  POSTaggerEvaluationMonitor
  A marker interface for evaluating `pos taggers`.
  POSTaggerFactory
  The factory that provides `POSTagger` default implementations and resources.
  POSTaggerFactory.POSDictionarySerializer
  POSTaggerME
  A `part-of-speech tagger` that uses maximum entropy.
  TagDictionary
  Interface to determine which tags are valid for a particular word based on a tag dictionary.
  WordTagSampleStream
  A stream filter which reads a sentence per line which contains words and tags in `word_tag` format and outputs a `POSSample` objects.