The MIT Press
Foundations of Statistical Natural Language Processing
Regular price
$13.45 USD
Regular price
Sale price
$13.45 USD
Unit price
per
Shipping calculated at checkout.
Couldn't load pickup availability
Title: Foundations of Statistical Natural Language Processing
Author: Christopher Manning
ISBN: 9780262133609
Publisher: The MIT Press
Published: 1999
Binding: Hardcover
Language: English
Edition: 1
Number of Pages: 620
Condition Note: Clean, unmarked copy with some edge wear. Good binding. Dust jacket included if issued with one. We ship in recyclable American-made mailers. 100% money-back guarantee on all orders.
Publisher Description: 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.
Author: Christopher Manning
ISBN: 9780262133609
Publisher: The MIT Press
Published: 1999
Binding: Hardcover
Language: English
Edition: 1
Number of Pages: 620
Condition Note: Clean, unmarked copy with some edge wear. Good binding. Dust jacket included if issued with one. We ship in recyclable American-made mailers. 100% money-back guarantee on all orders.
Publisher Description: 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.
