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“The Principles of Deep Learning Theory Daniel A. Roberts, ISBN-13: 978-1316519332” has been added to your cart. View cart
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Foundations of Statistical Natural Language Processing, ISBN-13: 978-0262133609
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Enhanced Discovering Computers 2017 Enhanced Edition Misty E. Vermaat, ISBN-13: 978-1305657458
Enhanced Discovering Computers 2017 Enhanced Edition Misty E. Vermaat, ISBN-13: 978-1305657458 $50.00 Original price was: $50.00.$19.73Current price is: $19.73.
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Information Security: The Complete Reference 2nd Edition, ISBN-13: 978-0071784368
Information Security: The Complete Reference 2nd Edition, ISBN-13: 978-0071784368 $50.00 Original price was: $50.00.$16.37Current price is: $16.37.

Foundations of Statistical Natural Language Processing, ISBN-13: 978-0262133609

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SKU: foundations-of-statistical-natural-language-processing-isbn-13-978-0262133609 Category: Computing Tags: Christopher D. Manning, Foundations of Statistical Natural Language Processing, ISBN-13: 978-0262133609
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Description

Foundations of Statistical Natural Language Processing, ISBN-13: 978-0262133609

[PDF eBook eTextbook]

 

  • Publisher: The MIT Press; 1st edition (June 18, 1999)
  • Language: English
  • 620 pages
  • ISBN-10: 0262133601
  • ISBN-13: 978-0262133609

 

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.

Christopher D. Manning is Assistant Professor in the Department of Computer Science at Stanford University. Hinrich Schütze is on the Research Staff at the Xerox Palo Alto Research Center.

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