Free Delivery Over $100
|
|
|||
|
||||
OverviewStochastically-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. Full Product DetailsAuthor: Wolfgang Minker , Alex Waibel , Joseph MarianiPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: Softcover reprint of the original 1st ed. 1999 Volume: 514 Dimensions: Width: 15.50cm , Height: 1.30cm , Length: 23.50cm Weight: 0.379kg ISBN: 9781461373964ISBN 10: 1461373964 Pages: 221 Publication Date: 12 October 2012 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of Contents1. Introduction.- 2. Research Framework.- 3. Applications and Corpora.- 4. Portability of a Rule-Based Case Frame Parser.- 5. Stochastically-Based Case Frame Parser.- 6. Portability of the Stochastic Parser.- 7. Summary of Results.- 8. Conclusion.- Appendices.- A- Rule-based Language Porting.- B- Case Values in French and English.- C- System Query Language for L’ATIS.- D- Test Subsets.- E- Commonly-used Abbreviations.- F- Utterance References.- References.Reviews'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) `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) `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) Author InformationTab Content 6Author Website:Countries AvailableAll regions |
||||
