Incremental Speech Translation

This book describes a complete translation system for spontaneously spoken language, constructed using the incremental paradigm. It starts by presenting the theoretical and algorithmic basis necessary to cope with the complex endeavour of translating speech incrementally and in parallel. In particular, graph-theoretic foundations of natural language processing and feature-based descriptions of linguistic objects are covered. A thorough description of the system and its performance follows. The author covers syntactic and semantic processing as well as transfer and syntactic generation. Thus the book can also be used as a broad-coverage introduction to the field of speech translation. This book is essential reading for researchers and students working in the field of speech translation. It is also intended as a research tool for those interested in the architecture of general natural language processing systems.

ISBN 3540667539   Volumes 1 ISBN13 9783540667537 (What's this?)   Weight (grammes) 710 Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG   Published in Berlin Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K   Series editor Goos, G., Goos, G., Goos, G. Format Paperback   Series ISSN 1735 Publication date 17 Nov 1999   Series title Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Library of Congress 99056375   Height (mm) 234 DEWEY 006.35   Width (mm) 156 DEWEY edition DC21   Spine width (mm) 12 Pages 224   Academic level Professional / Scholarly

		Overview		1
1		Introduction		3
1.1		Incremental Natural Language Processing		3
1.2		Incremental Speech Understanding		11
1.3		Incremental Architectures and the Architecture of MILC		15
2		Graph Theory and Natural Language Processing		25
2.1		General Definitions		25
2.2		The Use of Word Graphs for Natural Language Processing Systems		30
2.3		Evaluation of Word Graphs: Size and Quality Measures		34
2.4		Evaluation of Word Graphs: Quality Measures		44
2.5		Further Operations on Word Graphs		48
2.6		Hypergraphs		52
2.7		Search in Graphs		60
3		Unification-Based Formalisms for Translation in Natural Language Processing		65
3.1		Unification-Based Formalisms for Natural Language Processing		65
3.2		Unification-Based Machine Translation		73
3.3		Architecture and Implementation of the Formalism		76
4		MILC: Structure and Implementation		85
4.1		Layered Charts		86
4.2		Communication Within the Application		95
4.3		Overview of the Architecture of MILC		105
4.4		Word Recognition		106
4.5		Idiom Processing		108
4.6		Parsing		110
4.7		Utterance Integration		121
4.8		Transfer		128
		More...

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