class documentation
class FeaturesetTaggerI(TaggerI): (source)
Known subclasses: nltk.tag.sequential.ClassifierBasedTagger
A tagger that requires tokens to be featuresets. A featureset is a dictionary that maps from feature names to feature values. See nltk.classify for more information about features and featuresets.
Inherited from TaggerI:
| Method | evaluate |
Score the accuracy of the tagger against the gold standard. Strip the tags from the gold standard text, retag it using the tagger, then compute the accuracy score. |
| Method | tag |
Determine the most appropriate tag sequence for the given token sequence, and return a corresponding list of tagged tokens. A tagged token is encoded as a tuple (token, tag). |
| Method | tag |
Apply self.tag() to each element of sentences. I.e.: |
| Method | _check |
Undocumented |