Putting Linguistics into Speech Recognition: The Regulus Grammar Compiler

by Manny Rayner, Pierrette Bouillon, Beth Ann Hockey

Overview

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.

Product Details

ISBN-13:	9781575865256
Publisher:	Center for the Study of Language and Inf
Publication date:	07/01/2006
Series:	Csli Studies in Computational Linguistic
Edition description:	New Edition
Pages:	305
Product dimensions:	6.00(w) x 9.00(h) x 0.90(d)

About the Author

Manny Rayner is a researcher at the NASA Ames Research Center, California. Beth Ann Hockey is head of NASA’s Clarissa project, which in June of 2005 became the first spoken dialogue system to be used in space. Pierrette Bouillon is head of the MedSLT medical spoken language translation project at Geneva University.


Manny Rayner is a researcher at the NASA Ames Research Center, California. Beth Ann Hockey is head of NASA’s Clarissa project, which in June of 2005 became the first spoken dialogue system to be used in space. Pierrette Bouillon is head of the MedSLT medical spoken language translation project at Geneva University.


Manny Rayner is a researcher at the NASA Ames Research Center, California. Beth Ann Hockey is head of NASA’s Clarissa project, which in June of 2005 became the first spoken dialogue system to be used in space. Pierrette Bouillon is head of the MedSLT medical spoken language translation project at Geneva University.

Table of Contents

Foreword
 
1.  Introduction
 
I.  Using Regulus
 
2.  Getting started
3.  Simple applications
4.  Developing grammars
5.  A spoken dialogue system
6.  A speech translation system
7.  Using grammar specialisation
 
II.  How Regulus Works
 
8.  Compiling feature grammars into CFG
9.  A general English feature grammar for speech
10.  Grammar specialisation using Explanation Based Learning
11.  Performance of grammar-based recognisers
12.  Comparison of rule-based and robust approaches
13.  Summary and future directions
 
Appendix:  Online Documentation
References
Index