Foundations of Statistical Natural Language Processing (Hardcover)

Christopher Manning

ISBN 10: 0262133601 / ISBN 13: 9780262133609

Published by MIT Press Ltd, Cambridge, Mass., 1999

About this Item

Hardcover. 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. An introduction to statistical natural language processing (NLP). The text contains the theory and algorithms needed for building NLP tools. Topics covered include: mathematical and linguistic foundations; statistical methods; collocation finding; word sense disambiguation; and probalistic parsing. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Seller Inventory # 9780262133609

Bibliographic Details

• Title: Foundations of Statistical Natural Language Processing (Hardcover)
• Publisher: MIT Press Ltd, Cambridge, Mass.
• Publication Date: 1999
• Language: English
• ISBN 10: 0262133601
• ISBN 13: 9780262133609
• Binding: Hardcover
• Edition: 1st Edition
• Condition: new

About this title

Synopsis

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.

About the Author

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.