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Handbook of Natural Language Processing

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advanced language technology applications
Annotated Corpora
biomedical text mining
Category=UYQL
computational linguistics
computational systems
corpus-based language research
disambiguation
Discriminative Model
empirical language modelling
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IBM Model
information extraction
information retrieval
information visualization
linguistic data annotation
LR Parsing
machine
machine translation
multilingual language analysis
Named Entities
natural language generation
natural language processing
Natural Language Processing Tasks
NLG
NLP Application
NNS.
ontology construction
Parallel Corpora
Parse Tree
part-of
Penn Treebank
POS
POS Tag
QA System
semantic analysis
Semantic Role Labeling
sense
Sentence Segmentation
sentiment analysis
SMT
speech
speech recognition
statistical parsing
support
symbolic language processing
tagging
translation
vector
Vice Versa
word
Word Alignment
Word Segmentation
Word Sense

Product details

  • ISBN 9781420085921
  • Weight: 1426g
  • Dimensions: 189 x 246mm
  • Publication Date: 22 Feb 2010
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

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 Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.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

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.