Python NLTK: How to tag sentences with the simplified set of part-of-speech tags?

Question

Chapter 5 of the Python NLTK book gives this example of tagging words in a sentence:

>>> text = nltk.word_tokenize(\"And now for something completel         


        

Answer 1

Updated, in case anyone runs across the same problem. NLTK has since upgraded to a "universal" tagset, source here. Once you've tagged your text, use map_tag to simplify the tags.

import nltk
from nltk.tag import pos_tag, map_tag

text = nltk.word_tokenize("And now for something completely different")
posTagged = pos_tag(text)
simplifiedTags = [(word, map_tag('en-ptb', 'universal', tag)) for word, tag in posTagged]
print(simplifiedTags)
# [('And', u'CONJ'), ('now', u'ADV'), ('for', u'ADP'), ('something', u'NOUN'), ('completely', u'ADV'), ('different', u'ADJ')]