Putting Linguistics into Speech Recognition

The Regulus Grammar Compiler

By: Manny Rayner, Beth Ann Hockey, Pierrette Bouillon

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Paperback | 19 January 2007 | Edition Number 1

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Most computer programs that analyze spoken dialogue use a spoken command grammar, which limits what the user can say when talking to the system. To make this process simpler, more automated, and effective for command grammars even at initial stages of a project, the Regulus grammar compiler was developed by a consortium of experts—including NASA scientists. This book presents a complete description of both the practical and theoretical aspects of Regulus and will be extremely helpful for students and scholars working in computational linguistics as well as software engineering.

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Non-Fiction Computing & I.T.Computer Science Audio Processing Language & Linguistics Linguistics Computational Linguistics Artificial Intelligence Natural Language & Machine Translation Reference, Dictionaries & Guides

Foreword	p. xi
Introduction	p. 1
What this book is about	p. 1
Speech recognition and language models	p. 5
What Regulus does	p. 13
Clarissa and MedSLT	p. 15
Related work	p. 20
Plan of the book	p. 20
Summary	p. 21
Using Regulus	p. 23
Getting started	p. 25
Getting set up	p. 25
A toy grammar in GSL	p. 28
Rewriting Toy0 in Regulus	p. 32
Regulus configuration files	p. 37
Using Regulus	p. 39
Summary	p. 40
Simple applications	p. 43
Introduction	p. 43
The Regulus Speech Server	p. 44
A toy dialogue system in Prolog	p. 46
A toy speech translation system in Prolog	p. 50
A toy dialogue system in Java	p. 53
Summary	p. 62
Developing grammars	p. 65
Introduction	p. 65
Using the Regulus development environment	p. 65
The Toy1 example grammar	p. 67
Unification	p. 77
Macros	p. 81
Compiling the Toy1 recogniser	p. 85
Systematic testing of recognisers	p. 87
Summary	p. 89
A spoken dialogue system	p. 93
Introduction	p. 93
The Toy1 spoken dialogue system	p. 95
The input manager	p. 102
The dialogue manager	p. 104
The output manager	p. 108
Integrating dialogue management with recognition	p. 108
Dealing with ellipsis and corrections	p. 112
Summary	p. 117
A speech translation system	p. 119
Introduction	p. 119
Transfer-based systems	p. 120
Developing translation applications	p. 127
Translation through interlingua	p. 132
Translation of ellipsis	p. 134
Systematic development	p. 138
Integrating translation with recognition	p. 142
Summary	p. 145
Using grammar specialisation	p. 149
Overview	p. 149
Using the general English grammar	p. 150
The training corpus	p. 154
Adding lexical entries	p. 156
General grammar semantics	p. 166
Multiple top-level specialised grammars	p. 169
Including lexicon entries directly	p. 169
Dealing with ambiguity	p. 171
Making compilation more efficient	p. 171
Using probabilistic tuning	p. 172
Summary	p. 173
How Regulus Works	p. 175
Compiling feature grammars into CFG	p. 177
Introduction	p. 177
Exhaustive expansion	p. 178
Filtering	p. 179
Efficient filtering of CFGs	p. 182
Interleaving expansion and filtering	p. 186
Pre-processing of feature grammars	p. 195
Transforming the output CFG	p. 199
Semantics	p. 203
Summary	p. 203
A general English feature grammar for speech	p. 205
Introduction	p. 205
What makes speech grammars special	p. 206
English grammar: basic intuitions	p. 206
Compositional semantics	p. 209
Noun phrases	p. 211
Verb phrases and basic clauses	p. 214
Adjuncts	p. 228
Coordination	p. 229
Feature defaults	p. 230
Summary	p. 231
Grammar specialisation using Explanation Based Learning	p. 233
Explanation Based Learning	p. 233
Defining cutting-up criteria	p. 244
Different kinds of cutting-up criteria	p. 246
Summary	p. 251
Performance of grammar-based recognisers	p. 255
Introduction	p. 255
Varying vocabulary size	p. 256
Varying linguistic coverage	p. 259
Varying the feature set	p. 261
Varying the cutting-up criteria	p. 263
Comparing CFG and PCFG language models	p. 266
Deriving recognisers from general grammars	p. 267
Summary	p. 268
Comparison of rule-based and robust approaches	p. 271
Introduction	p. 271
Methodological issues	p. 272
Experiments on MedSLT	p. 279
Experiments on Clarissa	p. 281
Discussion	p. 282
Summary	p. 286
Summary and future directions	p. 289
Summary	p. 289
Future directions	p. 291
Online Documentation	p. 293
References	p. 295
Index	p. 301
Table of Contents provided by Ingram. All Rights Reserved.

Putting Linguistics into Speech Recognition

The Regulus Grammar Compiler

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How to return your order

Defective items

You Can Find This Book In

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