Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Python 3 Text Processing with NLTK 3 Cookbook

You're reading from   Python 3 Text Processing with NLTK 3 Cookbook

Arrow left icon
Product type Paperback
Published in Aug 2014
Publisher
ISBN-13 9781782167853
Length 304 pages
Edition 2nd Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Jacob Perkins Jacob Perkins
Author Profile Icon Jacob Perkins
Jacob Perkins
Arrow right icon
View More author details
Toc

Table of Contents (12) Chapters Close

Preface 1. Tokenizing Text and WordNet Basics FREE CHAPTER 2. Replacing and Correcting Words 3. Creating Custom Corpora 4. Part-of-speech Tagging 5. Extracting Chunks 6. Transforming Chunks and Trees 7. Text Classification 8. Distributed Processing and Handling Large Datasets 9. Parsing Specific Data Types A. Penn Treebank Part-of-speech Tags
Index

Partial parsing with regular expressions


So far, we've only been parsing noun phrases. But RegexpParser supports grammars with multiple phrase types, such as verb phrases and prepositional phrases. We can put the rules we've learned to use and define a grammar that can be evaluated against the conll2000 corpus, which has NP, VP, and PP phrases.

How to do it...

Now, we will define a grammar to parse three phrase types. For noun phrases, we have a ChunkRule class that looks for an optional determiner followed by one or more nouns. We then have a MergeRule class for adding an adjective to the front of a noun chunk. For prepositional phrases, we simply chunk any IN word, such as in or on. For verb phrases, we chunk an optional modal word (such as should) followed by a verb.

Note

Each grammar rule is followed by a # comment. This comment is passed into each rule as the description. Comments are optional, but they can be helpful notes for understanding what the rule does, and will be included in trace...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime