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Foundations of Statistical Natural Language Processing
     

Foundations of Statistical Natural Language Processing

by Christopher Manning
 

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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

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.

Product Details

ISBN-13:
9780262303798
Publisher:
MIT Press
Publication date:
05/28/1999
Sold by:
Barnes & Noble
Format:
NOOK Book
Pages:
720
File size:
16 MB
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