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Learnability in Optimality Theory
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Learnability in Optimality Theory Hardcover - 2000

by Bruce Tesar; Paul Smolensky


Details

  • Title Learnability in Optimality Theory
  • Author Bruce Tesar; Paul Smolensky
  • Binding Hardcover
  • Edition First Edition
  • Pages 148
  • Volumes 1
  • Language ENG
  • Publisher MIT Press, London, United Kingdom
  • Date 2000-05
  • Illustrated Yes
  • ISBN 9780262201261 / 0262201267
  • Weight 0.81 lbs (0.37 kg)
  • Dimensions 9.32 x 6.28 x 0.6 in (23.67 x 15.95 x 1.52 cm)
  • Ages 18 to UP years
  • Grade levels 13 - UP
  • Library of Congress subjects Optimality theory (Linguistics), Language acquisition
  • Library of Congress Catalog Number 99056826
  • Dewey Decimal Code 401.93

About the author

Paul Smolensky is Professor of Cognitive Science at Johns Hopkins University. He was a leading member of the PDP connectionist research group, and is the recipient of the 2005 David E. Rumelhart Prize in Cognitive Science, which is awarded annually to an individual or collaborative team making a significant contribution to the formal analysis of human cognition.

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Learnability in Optimality Theory
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Learnability in Optimality Theory

by Tesar, Bruce, Smolensky, Paul

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LEARNABILITY IN OPTIMALITY THEORY

LEARNABILITY IN OPTIMALITY THEORY

by Tesar, Bruce & Paul Smolensky

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MIT Press, 2000. Hardcover. This work represents what is arguably the most clear-minded and far-reaching current research program on the applications of formal learning theory to the problem of language acquisition."" - M.I.T. pp.vi Elizabeth's Bookshops have been one of Australia's premier independent book dealers since 1973. Elizabeth's family-owned business operates four branches in Perth CBD, Fremantle (WA), and Newtown (NSW). All orders are dispatched within 24 hours from our Fremantle Warehouse. All items can be viewed at Elizabeth's Bookshop Warehouse, 23 Queen Victoria Street\, Fremantle WA.
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Learnability in Optimality Theory
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Learnability in Optimality Theory

by Tesar, B and Smolensky, P

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MIT Press, 2000. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Book contains pen & pencil markings In poor condition, suitable as a reading copy. Dust jacket in fair condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,450grams, ISBN:9780262201261
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Learnability in Optimality Theory
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Learnability in Optimality Theory

by Bruce Tesar ; Paul Smolensky

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Learnability in Optimality Theory (The MIT Press)
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Learnability in Optimality Theory (The MIT Press)

by Tesar, Bruce, Smolensky, Paul

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The MIT Press. Used - Very Good. 2000. First Edition. Hardcover. Cloth with dust jacket. Minor shelf wear. Sticker remnants on front cover. Very Good.
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Learnability in optimality theory
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Learnability in optimality theory

by TESAR, BRUCE; SMOLENSKY, PAUL

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Cambridge, Mass. : MIT Press, Cambridge, Mass. : MIT Press, 2000. Orig. cloth. With dustjacket. vi,140 pp.; 24 cm. Includes bibliographical references pp. 133-138 and index. - (d.j. sl. worn, previous owner's name at top of title page) Otherwise as new. ISBN: 0262201267
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Learnability in Optimality Theory
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Learnability in Optimality Theory

by Tesar, Bruce, Smolensky, Paul

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Learnability in Optimality Theory
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Learnability in Optimality Theory

by Bruce Tesar

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Learnability in Optimality Theory (The MIT Press)
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Learnability in Optimality Theory (The MIT Press)

by Tesar, Bruce

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ISBN 10 / ISBN 13
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Learnability in Optimality Theory by Bruce Tesar and Paul Smolensky

Learnability in Optimality Theory by Bruce Tesar and Paul Smolensky

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  • Hardcover
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Hardcover
ISBN 10 / ISBN 13
9780262201261 / 0262201267
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ISBN: 9780262201261
MIT Press Ltd l 15 May 2000
Hardback | 148 pages
Highlighting the close relationship between linguistic explanation and learnability, Bruce Tesar and Paul Smolensky examine the implications of Optimality Theory (OT) for language learnability.Highlighting the close relationship between linguistic explanation and learnability, Bruce Tesar and Paul Smolensky examine the implications of Optimality Theory (OT) for language learnability. They show how the core principles of OT lead to the learning principle of constraint demotion, the basis for a family of algorithms that infer constraint rankings from linguistic forms.Of primary concern to the authors are the ambiguity of the data received by the learner and the resulting interdependence of the core grammar and the structural analysis of overt linguistic forms. The authors argue that iterative approaches to interdependencies, inspired by work in statistical learning theory, can be successfully adapted to address the interdependencies… Read More
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