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Python 3 Text Processing with NLTK 3 Cookbook

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

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Product type Paperback
Published in Aug 2014
Publisher
ISBN-13 9781782167853
Length 304 pages
Edition 2nd Edition
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Author (1):
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Jacob Perkins Jacob Perkins
Author Profile Icon Jacob Perkins
Jacob Perkins
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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

Distributed tagging with execnet


Execnet is a distributed execution library for Python. It allows you to create gateways and channels for remote code execution. A gateway is a connection from the calling process to a remote environment. The remote environment can be a local subprocess or an SSH connection to a remote node. A channel is created from a gateway and handles communication between the channel creator and the remote code. In this way, execnet is a kind of Message Passing Interface (MPI), where the gateway creates the connection and the channel is used to send messages back and forth.

Since many NLTK processes take 100% CPU during computation, execnet is an ideal way to distribute that computation for maximum resource usage. You can create one gateway per CPU core, and it doesn't matter whether the cores are in your local computer or spread across remote machines. In many situations, you only need to have the trained objects and data on a single machine and can send the objects...

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