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Learnability in Optimality Theory Tapa dura - 2000
de Bruce Tesar; Paul Smolensky
Detalles
- Título Learnability in Optimality Theory
- Autor Bruce Tesar; Paul Smolensky
- Encuadernación Tapa dura
- Edición First Edition
- Páginas 148
- Volúmenes 1
- Idioma ENG
- Editorial MIT Press, London, United Kingdom
- Fecha de publicación 2000-05
- Ilustrado Sí
- ISBN 9780262201261 / 0262201267
- Peso 0.81 libras (0.37 kg)
- Dimensiones 9.32 x 6.28 x 0.6 pulgadas (23.67 x 15.95 x 1.52 cm)
- Época de 18 a UP años
- Cursos 13 - UP
- Library of Congress subjects Optimality theory (Linguistics), Language acquisition
- Número de catálogo de la Librería del Congreso de EEUU 99056826
- Dewey Decimal Code 401.93
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Learnability in Optimality Theory
de Tesar, Bruce, Smolensky, Paul
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Waltham Abbey, Essex, United Kingdom
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LEARNABILITY IN OPTIMALITY THEORY
de 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
de Tesar, B and Smolensky, P
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Lincoln, Lincolnshire, United Kingdom
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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
de Tesar, Bruce, Smolensky, Paul
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Mishawaka, Indiana, United States
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MIT Press. Used - Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
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Learnability in Optimality Theory
de Bruce Tesar ; Paul Smolensky
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revere, Massachusetts, United States
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new hc
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Learnability in Optimality Theory (The MIT Press)
de Tesar, Bruce, Smolensky, Paul
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- First
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Chicago, Illinois, United States
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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
de TESAR, BRUCE; SMOLENSKY, PAUL
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Heerlen, Netherlands
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EUR 12.00EUR 24.50 enviando a USA
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Descripción:
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
de Bruce Tesar
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Morangis, France
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MIT Press, 2000. Hardcover. Good. Former library book. Edition 2000. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Learnability in Optimality Theory (The MIT Press)
de Tesar, Bruce
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- Usado - Bien
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Newport Coast, California, United States
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EUR 36.98Envío gratuito a USA
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Hardcover. Good. Access codes and supplements are not guaranteed with used items.
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Learnability in Optimality Theory by Bruce Tesar and Paul Smolensky
- Usado
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- Hardcover
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- 9780262201261 / 0262201267
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Johannesburg, South Africa
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EUR 25.64EUR 29.58 enviando a USA
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ISBN: 9780262201261MIT 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… Leer más
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