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Natural Language Processing: Python and NLTK
book

Natural Language Processing: Python and NLTK

by Nitin Hardeniya, Jacob Perkins, Deepti Chopra, Nisheeth Joshi, Iti Mathur
November 2016
Beginner to intermediate
687 pages
15h 31m
English
Packt Publishing
Content preview from Natural Language Processing: Python and NLTK

Default tagging

Default tagging provides a baseline for part-of-speech tagging. It simply assigns the same part-of-speech tag to every token. We do this using the DefaultTagger class. This tagger is useful as a last-resort tagger, and provides a baseline to measure accuracy improvements.

Getting ready

We're going to use the treebank corpus for most of this chapter because it's a common standard and is quick to load and test. But everything we do should apply equally well to brown, conll2000, and any other part-of-speech tagged corpus.

How to do it...

The DefaultTagger class takes a single argument, the tag you want to apply. We'll give it NN, which is the tag for a singular noun. DefaultTagger is most useful when you choose the most common part-of-speech ...

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Publisher Resources

ISBN: 9781787285101Purchase Link