Corpus-Based Methods in Language and Speech Processing

Gerrit Bloothooft

ISBN 10: 0792344634 / ISBN 13: 9780792344636

Editore: Springer Netherlands, Springer Netherlands Feb 1997, 1997

Riguardo questo articolo

Neuware -Corpus-based methods will be found at the heart of many language and speech processing systems. This book provides an in-depth introduction to 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 dialogue 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. There is also an extensive bibliography to enable topics of interest to be pursued further. Overall, we believe that the book will give newcomers a solid introduction to the field and it will give existing practitioners a concise review of the principal technologies used in state-of-the-art language and speech processing systems.Corpus-Based Methods in Language and Speech Processing is an initiative of ELSNET, the European Network in Language and Speech. In its activities, ELSNET attaches great importance to the integration of language and speech, both in research and in education. The need for and the potential of this integration are well demonstrated by this publication.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch.

Codice articolo 9780792344636

Dati bibliografici

• Titolo: Corpus-Based Methods in Language and Speech Processing
• Editore: Springer Netherlands, Springer Netherlands Feb 1997
• Data di pubblicazione: 1997
• Lingua: Inglese
• ISBN 10: 0792344634
• ISBN 13: 9780792344636
• Rilegatura: Buch
• Condizione: Neu

Descrizione articolo

Riassunto

Corpus-based methods will be found at the heart of many language and speech processing systems. This book provides an in-depth introduction to 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 dialogue 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. There is also an extensive bibliography to enable topics of interest to be pursued further. Overall, we believe that the book will give newcomers a solid introduction to the field and it will give existing practitioners a concise review of the principal technologies used in state-of-the-art language and speech processing systems.
Corpus-Based Methods in Language and Speech Processing is an initiative of ELSNET, the European Network in Language and Speech. In its activities, ELSNET attaches great importance to the integration of language and speech, both in research and in education. The need for and the potential of this integration are well demonstrated by this publication.

Contenuti

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.