The Spoken Language Translator (Hardcover)


This original volume describes the Spoken Language Translator (SLT), one of the first major automatic speech translation projects. The SLT system can translate between English, French, and Swedish in the domain of air travel planning, using a vocabulary of about 1500 words, and with an accuracy of about 75%. The authors detail the language processing components, largely built on top of the SRI Core Language Engine, using a combination of general grammars and techniques that allow them to be rapidly customized to specific domains. They base speech recognition on Hidden Markov Mode technology, and use versions of the SRI DECIPHER system. This account of SLT is an essential resource for researchers interested in knowing what is achievable in spoken-language translation today.

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Product Description

This original volume describes the Spoken Language Translator (SLT), one of the first major automatic speech translation projects. The SLT system can translate between English, French, and Swedish in the domain of air travel planning, using a vocabulary of about 1500 words, and with an accuracy of about 75%. The authors detail the language processing components, largely built on top of the SRI Core Language Engine, using a combination of general grammars and techniques that allow them to be rapidly customized to specific domains. They base speech recognition on Hidden Markov Mode technology, and use versions of the SRI DECIPHER system. This account of SLT is an essential resource for researchers interested in knowing what is achievable in spoken-language translation today.

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Product Details

General

Imprint

Cambridge UniversityPress

Country of origin

United Kingdom

Series

Studies in Natural Language Processing

Release date

August 2000

Availability

Expected to ship within 12 - 17 working days

First published

2000

Editors

, , , ,

Dimensions

229 x 152 x 24mm (L x W x T)

Format

Hardcover

Pages

356

ISBN-13

978-0-521-77077-4

Barcode

9780521770774

Categories

LSN

0-521-77077-7



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