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.
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.
Handbook of Natural Language Processing
702Handbook of Natural Language Processing
702Hardcover(2nd ed.)
Product Details
ISBN-13: | 9781420085921 |
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Publisher: | Taylor & Francis |
Publication date: | 02/22/2010 |
Series: | Chapman & Hall/CRC Machine Learning & Pattern Recognition |
Edition description: | 2nd ed. |
Pages: | 702 |
Product dimensions: | 7.00(w) x 10.40(h) x 1.50(d) |