Handbook of Natural Language Processing

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Nitin Indurkhya, Fred J. Damerau
CRC Press, 22 feb. 2010 - 704 páginas

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 Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.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

Classical Approaches
1
Chapter 1 Classical Approaches to Natural Language Processing
3
Chapter 2 Text Preprocessing
9
Chapter 3 Lexical Analysis
31
Chapter 4 Syntactic Parsing
59
Chapter 5 Semantic Analysis
93
Chapter 6 Natural Language Generation
121
Empirical and Statistical Approaches
145
Chapter 15 An Overview of Modern Speech Recognition
339
Chapter 16 Alignment
367
Chapter 17 Statistical Machine Translation
409
Applications
423
Chapter 18 Chinese Machine Translation
425
Chapter 19 Information Retrieval
455
Chapter 20 Question Answering
485
Chapter 21 Information Extraction
511

Chapter 7 Corpus Creation
147
Chapter 8 Treebank Annotation
167
Chapter 9 Fundamental Statistical Techniques
189
Chapter 10 PartofSpeech Tagging
205
Chapter 11 Statistical Parsing
237
Chapter 12 Multiword Expressions
267
Chapter 13 Normalized Web Distance and Word Similarity
293
Chapter 14 Word Sense Disambiguation
315
Chapter 22 Report Generation
533
Chapter 23 Emerging Applications of Natural Language Generation in Information Visualization Education and Health Care
557
Chapter 24 Ontology Construction
577
Biomedical Text Mining
605
Chapter 26 Sentiment Analysis and Subjectivity
627
Index
667
Back cover
679
Página de créditos

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Sobre el autor (2010)

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.

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