Handbook of Natural Language Processing

Indurkhya, Nitin(ed)

ISBN 10: 1420085921 / ISBN 13: 9781420085921

Published by Taylor & Francis Ltd, 2010

About this Item

Provides a comprehensive, modern reference of practical tools and techniques for implementing natural language processing in computer systems. This title covers classical methods, empirical and statistical techniques, and various applications. It describes how the techniques can be applied to European and Asian languages as well as English. Editor(s): Indurkhya, Nitin; Damerau, Fred J. Series Editor(s): Graepel, Thore; Herbrich, Ralf. Num Pages: 704 pages, 115 black & white illustrations, 29 black & white tables. BIC Classification: UYQL. Category: (P) Professional & Vocational. Dimension: 264 x 186 x 40. Weight in Grams: 1410. . 2010. 2nd Edition. Hardcover. . . . .

Seller Inventory # V9781420085921

Bibliographic Details

• Title: Handbook of Natural Language Processing
• Publisher: Taylor & Francis Ltd
• Publication Date: 2010
• Language: English
• ISBN 10: 1420085921
• ISBN 13: 9781420085921
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: New

About this title

Synopsis

The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.

New to the Second Edition

• Greater prominence of statistical approaches
• New applications section
• Broader multilingual scope to include Asian and European languages, along with English
• An actively maintained wiki (http://handbookofnlp.cse.unsw.edu.au) that provides online resources, supplementary information, and up-to-date developments

Divided into three sections, the book first surveys classical techniques, including both symbolic and empirical approaches. The second section focuses on statistical approaches in natural language processing. In the final section of the book, each chapter describes a particular class of application, from Chinese machine translation to information visualization to ontology construction to biomedical text mining. Fully updated with the latest developments in the field, this comprehensive, modern handbook emphasizes how to implement practical language processing tools in computational systems.

About the Author

Nitin Indurkhya is an associate professor in the School of Computer Science and Engineering at the University of New South Wales in Sydney, Australia. He is also the founder and president of Data-Miner Pty Ltd, which offers education, training, and consulting services in data/text analytics and human language technologies.

Before his death, Fred J. Damerau was a researcher at IBM’s Thomas J. Watson Research Center in Yorktown Heights, New York, where he worked on machine learning approaches to natural language processing.