Machine Learning of Natural Language

  • David M. W. Powers
  • Christopher C. R. Turk

Table of contents

  1. Front Matter
    Pages i-x
  2. David M. W. Powers, Christopher C. R. Turk
    Pages 1-25
  3. David M. W. Powers, Christopher C. R. Turk
    Pages 27-54
  4. David M. W. Powers, Christopher C. R. Turk
    Pages 55-75
  5. David M. W. Powers, Christopher C. R. Turk
    Pages 77-95
  6. David M. W. Powers, Christopher C. R. Turk
    Pages 97-127
  7. David M. W. Powers, Christopher C. R. Turk
    Pages 129-160
  8. David M. W. Powers, Christopher C. R. Turk
    Pages 161-186
  9. David M. W. Powers, Christopher C. R. Turk
    Pages 187-208
  10. David M. W. Powers, Christopher C. R. Turk
    Pages 209-231
  11. David M. W. Powers, Christopher C. R. Turk
    Pages 233-252
  12. David M. W. Powers, Christopher C. R. Turk
    Pages 253-277
  13. David M. W. Powers, Christopher C. R. Turk
    Pages 279-302
  14. David M. W. Powers, Christopher C. R. Turk
    Pages 303-326
  15. David M. W. Powers, Christopher C. R. Turk
    Pages 327-358

About this book

Introduction

We met because we both share the same views of language. Language is a living organism, produced by neural mechanisms relating in large numbers as a society. Language exists between minds, as a way of communicating between them, not as an autonomous process. The logical 'rules' seem to us an epiphe­ nomena ·of the neural mechanism, rather than an essential component in language. This view of language has been advocated by an increasing number of workers, as the view that language is simply a collection of logical rules has had less and less success. People like Yorick Wilks have been able to show in paper after paper that almost any rule which can be devised can be shown to have exceptions. The meaning does not lie in the rules. David Powers is a teacher of computer science. Christopher Turk, like many workers who have come into the field of AI (Artificial Intelligence) was originally trained in literature. He moved into linguistics, and then into computational linguistics. In 1983 he took a sabbatical in Roger Shank's AI project in the Computer Science Department at Yale University. Like an earlier visitor to the project, John Searle from California, Christopher Turk was increasingly uneasy at the view of language which was used at Yale.

Keywords

artificial intelligence cognition epistemology grammar heuristics intelligence learning linguistics machine learning modeling natural language pattern recognition problem solving psycholinguistics robotics

Authors and affiliations

  • David M. W. Powers
    • 1
    • 2
    • 3
  • Christopher C. R. Turk
    • 4
    • 5
  1. 1.FB InformatikUniversity of KaiserslauternPetershamAustralia
  2. 2.Macquarie UniversityPetershamAustralia
  3. 3.IMPACT LtdPetershamAustralia
  4. 4.‘Bentwys’, Llanbair DiscoedChepstow, GwentUK
  5. 5.College of CardiffUniversity of WalesUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-1697-4
  • Copyright Information Springer-Verlag London 1989
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-19557-3
  • Online ISBN 978-1-4471-1697-4
  • About this book