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wkap.com>* CORPUS-BASED METHODS IN LANGUAGE AND SPEECH PROCESSING edited by Steve Young, Engineering Dept., Cambridge University, UK Gerrit Bloothooft, Research Institute, Utrecht University, The Netherlands Corpus-based methods will be found at the heart of many language and speech processing systems. This book provides an in-depth introduction into these technologies through chapters describing basic statistical modeling techniques for language and speech, the use of hidden Markov models in continuous speech recognition, the development of development systems, part-of speech tagging and partial parsing, data-oriented parsing and n-gram language modeling. The book attempts to give both a clear overview of the main technologies used in language and speech processing, along with sufficient mathematics to understand the underlying principles. Overall, the book will give newcomers a solid introduction to the field and it will give existing practitioners a concise review of the principle technologies used in the state-of-the-art language and speech processing systems. Contents and Contributors: Introduction. 1. Corpus-Based Statistical Methods in Speech and Language Processing; H. Ney. 2. Hidden Markov Models in Speech and Language Processing; K. Knill, S. Young. 3. Spoken Language Dialogue Systems; E. Giachin, S. McGlashan. 4. Part-of-Speech Tagging and Partial Parsing; S. Abney. 5. Data-Oriented Language Processing; R. Bod, R. Scha. 6. Statistical Language Modeling Using Leaving-One-Out; H. Ney, S. Martin, F. Wessel. Author Information. Bibliography. Text, Speech and Language Technology 2 1997 234 pp. Hardbound ISBN 0-7923-4463-4 $75.00Mail to author|Respond to list|Read more issues|LINGUIST home page|Top of issue
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