Environment & Policy

Understanding Language

Man or Machine

Authors: Moyne, John A.

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Hardcover $99.00 net
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  • ISBN 978-0-306-41970-6
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About this book

This textbook is intended for graduate students in computer science and linguistics who are interested in developing expertise in natural language processing (NLP) and in those aspects of artificial intelligence which are concerned with computer models oflanguage comprehension. The text is somewhat different from a number of other excellent textbooks in that its foci are more on the linguistic and psycho linguistic prerequisites and on foundational issues concerning human linguistic behavior than on the description of the extant models and algorithms. The goal is to make the student, undertaking the enormous task of developing computer models for NLP, well aware of the major diffi­ culties and unsolved problems, so that he or she will not begin the task (as it has often been done) with overoptimistic hopes or claims about the generalizability of models, when such hopes and claims are incon­ sistent either with some aspects of the formal theory or with known facts about human cognitive behavior. Thus, I try to enumerate and explain the variety of cognitive, linguistic, and pragmatic data which must be understood and formalized before they can be incorporated into a computer model.

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Buy this book

eBook $69.99 net
( price for USA )
  • ISBN 978-1-4613-2483-6
  • digitally watermarked, no DRM
  • included format: PDF
  • eBooks can be used on all Reading Devices
Hardcover $99.00 net
( price for USA )
  • ISBN 978-0-306-41970-6
  • free shipping for individuals worldwide
  • The book title is in reprint. You can already preorder it.
Softcover $99.00 net
( price for USA )
  • ISBN 978-1-4612-9505-1
  • free shipping for individuals worldwide
  • usually dispatched within 3 to 5 business days

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Bibliographic Information

Bibliographic Information
Book Title
Understanding Language
Book Subtitle
Man or Machine
Series Title
Environment & Policy
Series Volume
20
Copyright
1985
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4613-2483-6
DOI
10.1007/978-1-4613-2483-6
Hardcover ISBN
978-0-306-41970-6
Softcover ISBN
978-1-4612-9505-1
Series ISSN
1383-5130
Edition Number
1
Topics