Handbook of Natural Language Processing

Nitin Indurkhya, Fred J. Damerau (Herausgeber)

Buch | Hardcover

702 Seiten

2010 | 2nd edition
Chapman & Hall/CRC (Verlag)
978-1-4200-8592-1 (ISBN)

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 Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.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

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.

Classical Approaches. Empirical and Statistical Approaches. Applications. Index.

Erscheint lt. Verlag	23.2.2010
Reihe/Serie	Chapman & Hall/CRC Machine Learning & Pattern Recognition
Zusatzinfo	29 Tables, black and white; 115 Illustrations, black and white
Sprache	englisch
Maße	189 x 246 mm
Gewicht	1426 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
ISBN-10	1-4200-8592-1 / 1420085921
ISBN-13	978-1-4200-8592-1 / 9781420085921
Zustand	Neuware