Stochastically-Based Semantic Analysis

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.

Report

`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)

Product details

• Authors: Joseph Mariani, Wolfgang Minker, Wolfgan Minker, Ale Waibel, Joseph-Jean Mariani, Alex Waibel
• Publisher: Springer, Berlin
• Content: Book
• Product form: Paperback / Softback
• Publication date: 13.03.2013
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT
• EAN: 9781461373964
• ISBN: 978-1-4613-7396-4
• Pages: 221
• Illustrations: XVII, 221 p.
• Dimensions (packing): 15.5 x 1.3 x 23.5 cm
• Weight (packing): 377 g
• Series: The Springer International Series in Engineering and Computer Science > .514; The Springer International Series in Engineering and Computer Science > 514