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Foundations of Statistical Natural Language Processing
by Christopher Manning and Hinrich Schuetze


Overview -

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools.  Read more...


 
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More About Foundations of Statistical Natural Language Processing by Christopher Manning; Hinrich Schuetze
 
 
 
Overview

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.



This item is Non-Returnable.

 
Details
  • ISBN-13: 9780262133609
  • ISBN-10: 0262133601
  • Publisher: Mit Press
  • Publish Date: June 1999
  • Page Count: 620
  • Reading Level: Ages 18-UP
  • Dimensions: 9.46 x 8.04 x 1.25 inches
  • Shipping Weight: 2.98 pounds

Series: Mit Press

Related Categories

Books > Language Arts & Disciplines > Linguistics - General

 
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