Corpus-Based Methods in Language and Speech Processing

  • Steve Young
  • Gerrit Bloothooft
Part of the Text, Speech and Language Technology book series (TLTB, volume 2)

Table of contents

  1. Front Matter
    Pages i-xii
  2. E. Giachin, S. McGlashan
    Pages 69-117
  3. R. Bod, R. Scha
    Pages 137-173
  4. H. Ney, S. Martin, F. Wessel
    Pages 174-207
  5. Back Matter
    Pages 208-235

About this book

Introduction

Corpus-based methods will be found at the heart of many language and speech processing systems. This book provides an in-depth introduction to these technologies through chapters describing basic statistical modeling techniques for language and speech, the use of Hidden Markov Models in continuous speech recognition, the development of dialogue systems, part-of-speech tagging and partial parsing, data-oriented parsing and n-gram language modeling.
The book attempts to give both a clear overview of the main technologies used in language and speech processing, along with sufficient mathematics to understand the underlying principles. There is also an extensive bibliography to enable topics of interest to be pursued further. Overall, we believe that the book will give newcomers a solid introduction to the field and it will give existing practitioners a concise review of the principal technologies used in state-of-the-art language and speech processing systems.
Corpus-Based Methods in Language and Speech Processing is an initiative of ELSNET, the European Network in Language and Speech. In its activities, ELSNET attaches great importance to the integration of language and speech, both in research and in education. The need for and the potential of this integration are well demonstrated by this publication.

Keywords

Parsing hidden markov model information language modeling speech processing speech recognition

Editors and affiliations

  • Steve Young
    • 1
  • Gerrit Bloothooft
    • 2
  1. 1.Engineering DepartmentCambridge UniversityCambridgeUK
  2. 2.Research Institute for Language and SpeechUtrecht UniversityUtrechtThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-017-1183-8
  • Copyright Information Springer Science+Business Media B.V. 1997
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-4813-4
  • Online ISBN 978-94-017-1183-8
  • Series Print ISSN 1386-291X
  • About this book