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Handbook of Natural Language Processing

By: (Edited by) Fred J. Damerau , (Edited by) Nitin Indurkhya

Manufacture on Demand

Ksh 26,100.00

Format: Hardback or Cased Book

ISBN-10: 1420085921

ISBN-13: 9781420085921

Edition Number: 2

Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

Publisher: Taylor & Francis Ltd

Imprint: Chapman & Hall/CRC

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Feb 22nd, 2010

Print length: 702 Pages

Weight: 1,314 grams

Dimensions (height x width x thickness): 26.40 x 18.60 x 4.00 cms

Product Classification: Natural language & machine translation

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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.

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 Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.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