Stochastically-Based Semantic Analysis: 514 (The Springer International Series in Engineering and Computer Science, 514) - Hardcover
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Synopsis
Stochastically-Based Semantic Analysis investigates the problem of automatic natural language understanding in a spoken language dialog system. The focus is on the design of a stochastic parser and its evaluation with respect to a conventional rule-based method.
Stochastically-Based Semantic Analysis will be of most interest to researchers in artificial intelligence, especially those in natural language processing, computational linguistics, and speech recognition. It will also appeal to practicing engineers who work in the area of interactive speech systems.
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Review
`Altogether the book is well worth reading. The research reported in this book is very interesting, and the authors managed to almost find the right level of detail in their descriptions, enabling the reader to understand how a system works without losing the overall picture.'
Natural Language Engineering, 7:1 (2001)
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Stochastically-Based Semantic Analysis
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Kluwer Academic Publishers, 1999
ISBN 10: 0792385713
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Condition: New. Investigates the problem of automatic natural language understanding in a spoken language dialog system. This book focusses on the design of a stochastic parser and its evaluation with respect to a conventional rule-based method. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 238 pages, biography. BIC Classification: UYQL; UYU. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate; (XV) Technical / Manuals. Dimension: 234 x 156 x 14. Weight in Grams: 1150. . 1999. Hardback. . . . . Seller Inventory # V9780792385714
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Condition: New. Investigates the problem of automatic natural language understanding in a spoken language dialog system. This book focusses on the design of a stochastic parser and its evaluation with respect to a conventional rule-based method. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 238 pages, biography. BIC Classification: UYQL; UYU. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate; (XV) Technical / Manuals. Dimension: 234 x 156 x 14. Weight in Grams: 1150. . 1999. Hardback. . . . . Books ship from the US and Ireland. Seller Inventory # V9780792385714