August 2014
Beginner to intermediate
304 pages
7h 10m
English
Content preview from Python 3 Text Processing with NLTK 3 Cookbook - Second EditionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Replacing words matching regular expressions
Now, we are going to get into the process of replacing words. If stemming and lemmatization are a kind of linguistic compression, then word replacement can be thought of as error correction or text normalization.
In this recipe, we will replace words based on regular expressions, with a focus on expanding contractions. Remember when we were tokenizing words in Chapter 1, Tokenizing Text and WordNet Basics, and it was clear that most tokenizers had trouble with contractions? This recipe aims to fix this by replacing contractions with their expanded forms, for example, by replacing "can't" with "cannot" or "would've" with "would have".
Getting ready
Understanding how this recipe works will require a basic ...
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