nltk.DefaultTagger¶

class nltk.DefaultTagger(tag)[source]¶

A tagger that assigns the same tag to every token.

>>> from nltk.tag import DefaultTagger
>>> default_tagger = DefaultTagger('NN')
>>> list(default_tagger.tag('This is a test'.split()))
[('This', 'NN'), ('is', 'NN'), ('a', 'NN'), ('test', 'NN')]

This tagger is recommended as a backoff tagger, in cases where a more powerful tagger is unable to assign a tag to the word (e.g. because the word was not seen during training).

Parameters:	tag (str) – The tag to assign to each token