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

Product typeBook
Published inAug 2014
Reading LevelBeginner
Publisher
ISBN-139781782167853
Edition1st Edition
Languages
Python
Tools
NLTK
Concepts
Data Processing
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Author (1)
Jacob Perkins
Jacob Perkins
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Jacob Perkins

Jacob Perkins is the cofounder and CTO of Weotta, a local search company. Weotta uses NLP and machine learning to create powerful and easy-to-use natural language search for what to do and where to go. He is the author of Python Text Processing with NLTK 2.0 Cookbook, Packt Publishing, and has contributed a chapter to the Bad Data Handbook, O'Reilly Media. He writes about NLTK, Python, and other technology topics at http://streamhacker.com. To demonstrate the capabilities of NLTK and natural language processing, he developed http://text-processing.com, which provides simple demos and NLP APIs for commercial use. He has contributed to various open source projects, including NLTK, and created NLTK-Trainer to simplify the process of training NLTK models. For more information, visit https://github.com/japerk/nltk-trainer.
Read more about Jacob Perkins

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Creating a chunked phrase corpus

A chunk is a short phrase within a sentence. If you remember sentence diagrams from grade school, they were a tree-like representation of phrases within a sentence. This is exactly what chunks are: subtrees within a sentence tree, and they will be covered in much more detail in Chapter 5, Extracting Chunks. The following is a sample sentence tree with three Noun Phrase (NP) chunks shown as subtrees:

This recipe will cover how to create a corpus with sentences that contain chunks.

Getting ready

The following is an excerpt from the tagged treebank corpus. It has part-of-speech tags, as in the previous recipe, but it also has square brackets for denoting chunks. The text within the brackets has been highlighted to make the chunks more apparent. The following sentence is the same sentence as in the previous tree diagram, but in text form:

[Earlier/JJR staff-reduction/NN moves/NNS] have/VBP trimmed/VBN about/IN [300/CD jobs/NNS] ,/, [the/DT spokesman/NN] said/VBD...
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Python 3 Text Processing with NLTK 3 Cookbook
Published in: Aug 2014Publisher: ISBN-13: 9781782167853
© 2014 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Jacob Perkins

Jacob Perkins is the cofounder and CTO of Weotta, a local search company. Weotta uses NLP and machine learning to create powerful and easy-to-use natural language search for what to do and where to go. He is the author of Python Text Processing with NLTK 2.0 Cookbook, Packt Publishing, and has contributed a chapter to the Bad Data Handbook, O'Reilly Media. He writes about NLTK, Python, and other technology topics at http://streamhacker.com. To demonstrate the capabilities of NLTK and natural language processing, he developed http://text-processing.com, which provides simple demos and NLP APIs for commercial use. He has contributed to various open source projects, including NLTK, and created NLTK-Trainer to simplify the process of training NLTK models. For more information, visit https://github.com/japerk/nltk-trainer.
Read more about Jacob Perkins

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