Handbook of Natural Language Processing

Nitin Indurkhya, Fred J. Damerau

Chapman and Hall/CRC
Published February 22, 2010
Reference - 702 Pages - 115 B/W Illustrations
ISBN 9781420085921 - CAT# C5921
Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

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  • Explores the practical aspects of building natural language processing systems
  • Covers many well-known and emerging applications, including machine translation, biomedical text mining, and sentiment analysis
  • Provides examples of how to apply the techniques to languages other than English
  • Offers web links, supplementary material, and updates to chapters on a companion wiki: http://handbookofnlp.cse.unsw.edu.au


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 Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.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.


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