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Python 3 Text Processing with NLTK 3 Cookbook - Second Edition
book

Python 3 Text Processing with NLTK 3 Cookbook - Second Edition

by Jacob Perkins
August 2014
Beginner to intermediate content levelBeginner to intermediate
304 pages
7h 10m
English
Packt Publishing
Content preview from Python 3 Text Processing with NLTK 3 Cookbook - Second Edition

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: 9781782167853Supplemental Content