Stochastically-Based Semantic Analysis

  • Wolfgang Minker
  • Alex Waibel
  • Joseph Mariani

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Wolfgang Minker, Alex Waibel, Joseph Mariani
    Pages 1-10
  3. Wolfgang Minker, Alex Waibel, Joseph Mariani
    Pages 11-21
  4. Wolfgang Minker, Alex Waibel, Joseph Mariani
    Pages 23-39
  5. Wolfgang Minker, Alex Waibel, Joseph Mariani
    Pages 41-65
  6. Wolfgang Minker, Alex Waibel, Joseph Mariani
    Pages 67-120
  7. Wolfgang Minker, Alex Waibel, Joseph Mariani
    Pages 121-167
  8. Wolfgang Minker, Alex Waibel, Joseph Mariani
    Pages 169-175
  9. Wolfgang Minker, Alex Waibel, Joseph Mariani
    Pages 177-181
  10. Back Matter
    Pages 183-221

About this book

Introduction

Stochastically-Based Semantic Analysis investigates the problem of automatic natural language understanding in a spoken language dialog system. The focus is on the design of a stochastic parser and its evaluation with respect to a conventional rule-based method.
Stochastically-Based Semantic Analysis will be of most interest to researchers in artificial intelligence, especially those in natural language processing, computational linguistics, and speech recognition. It will also appeal to practicing engineers who work in the area of interactive speech systems.

Keywords

artificial intelligence cognition computational linguistics intelligence linguistics natural language natural language processing semantic analysis speech recognition

Authors and affiliations

  • Wolfgang Minker
    • 1
  • Alex Waibel
    • 2
  • Joseph Mariani
    • 1
  1. 1.LIMSI-CNRSOrsayFrance
  2. 2.Carnegie Mellon UniversityPittsburghUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-5255-0
  • Copyright Information Kluwer Academic Publishers 1999
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-7396-4
  • Online ISBN 978-1-4615-5255-0
  • Series Print ISSN 0893-3405
  • About this book