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Handbook of Natural Language Processing 2nd Edition by Nitin Indurkhya, Fred Damerau 9781420085921 1420085921

  • SKU: BELL-2247038
Handbook of Natural Language Processing 2nd Edition by Nitin Indurkhya, Fred Damerau 9781420085921 1420085921
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Handbook of Natural Language Processing 2nd Edition by Nitin Indurkhya, Fred Damerau 9781420085921 1420085921 instant download after payment.

Publisher: Taylor and Francis Group, LLC
File Extension: PDF
File size: 6.74 MB
Pages: 692
Author: Nitin Indurkhya, Fred J. Damerau (Editors)
ISBN: 9781420085938, 142008593X
Language: English
Year: 2010

Product desciption

Handbook of Natural Language Processing 2nd Edition by Nitin Indurkhya, Fred Damerau 9781420085921 1420085921 by Nitin Indurkhya, Fred J. Damerau (editors) 9781420085938, 142008593X instant download after payment.

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Product details:

ISBN 10: 1420085921

ISBN 13: 9781420085921

Author: Nitin Indurkhya, Fred J. Damerau

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 Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.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

Table of contents:

Part I Classical Approaches

1 Classical Approaches to Natural Language Processing Robert Dale

2 Text Preprocessing David D. Palmer

3 Lexical Analysis Andrew Hippisley.

4 Syntactic Parsing Peter Ljunglöf and Mats Wirén

5 Semantic Analysis Cliff Goddard and Andrea C. Schalley

6 Natural Language Generation David D. McDonald

Part II Empirical and Statistical Approaches

7 Corpus Creation Richard Xiao

8 Treebank Annotation Eva Hajičová, Anne Abeillé, Jan Hajič, Jiří Mírovský, and Zdeňka Urešová

9 Fundamental Statistical Techniques Tong Zhang

10 Part-of-Speech Tagging Tunga Güngör

11 Statistical Parsing Joakim Nivre

12 Multiword Expressions Timothy Baldwin and Su Nam Kim

13 Normalized Web Distance and Word Similarity Paul M.B. Vitányi and Rudi L. Cilibrasi

14 Word Sense Disambiguation David Yarowsky

15 An Overview of Modern Speech Recognition Xuedong Huang and Li Deng

16 Alignment Dekai Wu

17 Statistical Machine Translation Abraham Ittycheriah

Part III Applications

18 Chinese Machine Translation Pascale Fung

19 Information Retrieval Jacques Savoy and Eric Gaussier

20 Question Answering Diego Mollá-Aliod and José-Luis Vicedo

21 Information Extraction Jerry R. Hobbs and Ellen Riloff

22 Report Generation Leo Wanner

23 Emerging Applications of Natural Language Generation in Information Visualization, Education, and Health Care Barbara Di Eugenio and Nancy L. Green

24 Ontology Construction Philipp Cimiano, Johanna Völker, and Paul Buitelaar

25 BioNLP: Biomedical Text Mining K. Bretonnel Cohen

26 Sentiment Analysis and Subjectivity Bing Liu

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Tags: Nitin Indurkhya, Fred Damerau, Natural, Processing

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