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Handbook of Natural Language Processing 2nd Edition by Nitin Indurkhya, Fred Damerau 9781420085938 142008593X

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Handbook of Natural Language Processing Second Edition Chapman Hall CRC Machine Learning Pattern Recognition Series Nitin Indurkhya Digital Instant Download

Author(s): Nitin Indurkhya, Fred J. Damerau (Editors)
ISBN(s): 9781420085938, 142008593X
File Details: PDF, 6.74 MB
Year: 2010
Language: english
SKU: EB-2247038 Category: Tags: ,

Handbook of Natural Language Processing 2nd Edition by Nitin Indurkhya, Fred Damerau – Ebook PDF Instant Download/Delivery: 9781420085938, 142008593X

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Product details:

ISBN 10: 142008593X

ISBN 13: 9781420085938

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 Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.New to the Second EditionGreater prominence of statistical approaches New applications section Broader multilingual scope to include Asian and European languages, along with English An actively maintained wiki ( //handbookofnlp.cse.unsw.edu.au) that provides online resources, supplementary information, and up-to-date developmentsDivided 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

  • Chapter 1: Classical Approaches to Natural Language Processing — Robert Dale

  • Chapter 2: Text Preprocessing — David D. Palmer

  • Chapter 3: Lexical Analysis — Andrew Hippisley

  • Chapter 4: Syntactic Parsing — Peter Ljunglöf and Mats Wirén

  • Chapter 5: Semantic Analysis — Cliff Goddard and Andrea C. Schalley

  • Chapter 6: Natural Language Generation — David D. McDonald

Part II: Empirical and Statistical Approaches

  • Chapter 7: Corpus Creation — Richard Xiao

  • Chapter 8: Treebank Annotation — Eva Hajičová, Anne Abeillé, Jan Hajič, Jiří Mírovský, and Zdeňka Urešová

  • Chapter 9: Fundamental Statistical Techniques — Tong Zhang

  • Chapter 10: Part-of-Speech Tagging — Tunga Güngör

  • Chapter 11: Statistical Parsing — Joakim Nivre

  • Chapter 12: Multiword Expressions — Timothy Baldwin and Su Nam Kim

  • Chapter 13: Normalized Web Distance and Word Similarity — Paul M.B. Vitányi and Rudi L. Cilibrasi

  • Chapter 14: Word Sense Disambiguation — David Yarowsky

  • Chapter 15: An Overview of Modern Speech Recognition — Xuedong Huang and Li Deng

  • Chapter 16: Alignment — Dekai Wu

  • Chapter 17: Statistical Machine Translation — Abraham Ittycheriah

Part III: Applications

  • Chapter 18: Chinese Machine Translation — Pascale Fung

  • Chapter 19: Information Retrieval — Jacques Savoy and Eric Gaussier

  • Chapter 20: Question Answering — Diego Mollá-Aliod and José-Luis Vicedo

  • Chapter 21: Information Extraction — Jerry R. Hobbs and Ellen Riloff

  • Chapter 22: Report Generation — Leo Wanner

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

  • Chapter 24: Ontology Construction — Philipp Cimiano, Johanna Völker, and Paul Buitelaar

  • Chapter 25: BioNLP: Biomedical Text Mining — K. Bretonnel Cohen

  • Chapter 26: Sentiment Analysis and Subjectivity — Bing Liu

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