Overview

The Verbmobil System currently under development in Germany would input speech in a source language dialogue, translate it, and output synthesized speech in a target language, all in real time under the conditions of face-to-face dialogue. This preliminary study is an assessment of the state of the art of the speech recognition and machine translation fields, and a frank discussion of the challenges the developers of such a system face. A speech-based machine translation system in effect combines all the technical problems of understanding and generation systems and adds the very special difficulties of translation. The difficulties of translation are illustrated with a variety of examples culled from a number of languages. A general architecture called translation-by-negotiation is proposed. This book is of value not only to students of speech recognition and machine translation, but to anyone interested in natural language processing in general, since computational problems and linguistic approaches at various levels of linguistics and analysis are discussed.

Full Product Details

Author:   Martin Kay ,  Mark Gawron ,  Peter Norvig
Publisher:   Centre for the Study of Language & Information
Imprint:   Centre for the Study of Language & Information
Edition:   73rd ed.
Volume:   33
Dimensions:   Width: 15.20cm , Height: 2.20cm , Length: 22.80cm
Weight:   0.580kg
ISBN:  

9780937073964

ISBN 10:   0937073962
Pages:   247
Publication Date:   30 January 1994
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock  
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Table of Contents

Preface; 1. Introduction; 2. Machine translation; 3. Speech recognition; 4. Recommendations; Bibliography.

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Author Information

Martin Kay is professor of linguistics at Stanford University and an honorary professor at the University of Saarland, Germany. He is a past president of the Association for the Computational Linguistics and resigned the chairmanship of the International Committee on Computational Linguistics in 2014, having served in that capacity for thirty years.

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