The Spoken Language Translator

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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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Editorial Reviews

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"...this book is a useful resource for those who are interested in knowing how to build a speech-to-speech translation system, especially for those who are interested in grammar-based language processing approaches." Computational Linguistics
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Product Details

Table of Contents

1 Introduction 1
Pt. I Language Processing and Corpora 23
2 Translation Using the Core Language Engine 25
3 Grammar Specialisation 57
4 Choosing among Interpretations 78
5 The TreeBanker 98
6 Acquisition of Lexical Entries 110
7 Spelling and Morphology 116
8 Corpora and Data Collection 131
Pt. II Linguistic Coverage 145
9 English Coverage 147
10 French Coverage 168
11 Swedish Coverage 180
12 Transfer Coverage 192
13 Rational Reuse of Linguistic Data 212
Pt. III Speech Processing 229
14 Speech Recognition 231
15 Acoustic Modelling 240
16 Language Modelling for Multilingual Speech Translation 250
17 Porting a Recogniser to a New Language 265
18 Multiple Dialects and Languages 274
19 Common Speech/Language Issues 284
Pt. IV Evaluation and Conclusions 295
20 Evaluation 297
21 Conclusions 313
App The Mathematics of Discriminant Scores 315
App Notation for QLF-Based Processing 318
References 323
Index 333
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