`nltk.tag.StanfordPOSTagger`¶

class nltk.tag.StanfordPOSTagger(*args, **kwargs)[source]¶

A class for pos tagging with Stanford Tagger. The input is the paths to:

a model trained on training data
(optionally) the path to the stanford tagger jar file. If not specified here, then this jar file must be specified in the CLASSPATH envinroment variable.
(optionally) the encoding of the training data (default: UTF-8)

Example:

>>> from nltk.tag import StanfordPOSTagger
>>> st = StanfordPOSTagger('english-bidirectional-distsim.tagger') 
>>> st.tag('What is the airspeed of an unladen swallow ?'.split()) 
[('What', 'WP'), ('is', 'VBZ'), ('the', 'DT'), ('airspeed', 'NN'), ('of', 'IN'), ('an', 'DT'), ('unladen', 'JJ'), ('swallow', 'VB'), ('?', '.')]

Methods¶

`__init__`(args, *kwargs)
`evaluate`(gold)	Score the accuracy of the tagger against the gold standard.
`parse_output`(text[, sentences])
`tag`(tokens)
`tag_sents`(sentences)