Mathematical foundations of speech and language processing.
type: Item
instance of: scholarly article
title: Mathematical foundations of speech and language processing.
zbMATH Open document ID: 1056.68151
DOI: 10.1007/978-1-4419-9017-4
published in: The IMA Volumes in Mathematics and its Applications
publication date: 2004-09-29T00:00:00Z
review text: The importance of language text and speech technologies continues to grow since these techniques are used to transcribe, analyze, route and extract written and spoken information, competing to create natural and efficient interfaces between people and machines. This book is a collection of 12 high-quality contributions selected from the papers of two workshops organized by IMA (Institute of Mathematics and its Applications), University of Minnesota, September and November 2000, and dedicated to the mathematical foundations of speech and natural language text processing. The twelve original contributions emphasize the role of mathematics, statistics, logic, formal languages and parsing to the understanding of complex phenomena in speech and natural language, as well as to filling the gap between practitioners and mathematicians when facing the concrete problems of text and speech processing. The first four papers (chapters) of the book contain expositions related to language processing, moving from more general work to specific advances in structure and topic representations in language modelling. The fifth paper deals with prosody modelling, and provides a nice transition towards speech since prosody may be seen as an important link between phonetics and global language structure. The next five papers relate primarily to acoustic modelling, starting with work that is motivated by speech production models and acoustic-phonetic studies, and moving toward new and more general models. The book concludes with two papers from the statistics community that are addressed to speech and language processing in the future. For a closer look, here there are the authors and titles of the contained papers: Chapter 1. Stuart Geman, Mark Johnson: Probability and statistics in computational linguistics, a brief review; Chapter 2. Dietrich Klakow: Three issues in modern language modeling; Chapter 3. Frederik Jelinek: Stochastic analysis of structured language modeling; Chapter 4. Jero…
reviewed by: Neculai Curteanu
Mathematics Subject Classification ID: 68T50
Mathematics Subject Classification ID: 68T10
Mathematics Subject Classification ID: 03B65
Mathematics Subject Classification ID: 91F20
Mathematics Subject Classification ID: 68-01
zbMATH DE Number: 2104237
zbMATH Keywords: natural language technology
zbMATH Keywords: computational linguistics
zbMATH Keywords: speech processing
zbMATH Keywords: prosody modelling
zbMATH Keywords: text programming
zbMATH Keywords: stochastic approach to language processing
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1007/978-1-4419-9017-4
OpenAlex ID: W335758531
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description: scientific article; zbMATH DE number 2104237