Corpus-Based Methods in Language and Speech Processing

Corpus-Based Methods in Language and Speech Processing
Author :
Publisher : Springer Science & Business Media
Total Pages : 252
Release :
ISBN-10 : 0792344634
ISBN-13 : 9780792344636
Rating : 4/5 (636 Downloads)

Book Synopsis Corpus-Based Methods in Language and Speech Processing by : Steve Young

Download or read book Corpus-Based Methods in Language and Speech Processing written by Steve Young and published by Springer Science & Business Media. This book was released on 1997-02-28 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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ABOUT THIS BOOK This book is intended for researchers who want to keep abreast of cur rent developments in corpus-based natural language processing. It is not m