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Linguistic attractors : the cognitive dynamics of language acquisition and change /

The interdisciplinary linguistic attractor model portrays language processing as linked sequences of fractal sets, and examines the changing dynamics of such sets for individuals as well as the speech community they comprise. Its motivation stems from human anatomic constraints and several artificia...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Cooper, D. L.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Philadelphia, Pa. : J. Benjamins Pub. Co., [1999].
Colección:Human cognitive processing ; v. 2.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Cooper, D. L. 
245 1 0 |a Linguistic attractors :  |b the cognitive dynamics of language acquisition and change /  |c David L. Cooper. 
264 1 |a Amsterdam ;  |a Philadelphia, Pa. :  |b J. Benjamins Pub. Co.,  |c [1999]. 
264 4 |c ©1999. 
300 |a 1 online resource (xv, 375 pages) :  |b illustrations 
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490 1 |a Human cognitive processing ;  |v v. 2 
504 |a Includes bibliographical references ([329]-353) and index. 
505 0 |a Linguistic Attractors; Editorial page; Title page; LCC data; Table of contents; Preface; Introduction. Abstractions, Universals, Systems, and Attractors; Chapter 1. Human Architecture: Physical Constraints and Special Accommodations; Chapter 2. Possible Neural Network Implementations: General Network Properties and Requirements for Computation; Chapter 3. Representations; Chapter 4. Attractor Dynamics on Semantic Fields; Chapter 5. Toward an Attractor Grammar; Chapter 6. The Dynamics of Language Change: Beowulf, the Tatian, and German Biblical Texts; References; Index. 
520 |a The interdisciplinary linguistic attractor model portrays language processing as linked sequences of fractal sets, and examines the changing dynamics of such sets for individuals as well as the speech community they comprise. Its motivation stems from human anatomic constraints and several artificial neural network approaches. It uses general computation theory to: (1) demonstrate the capacity of Cantor-like fractal sets to perform as Turing Machines; (2) better distinguish between models that simply match outputs (emulation) and models that match both outputs and internal dynamics (simulation. 
588 0 |a Print version record. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Psycholinguistics. 
650 0 |a Computational linguistics. 
650 0 |a Linguistic change. 
650 6 |a Psycholinguistique. 
650 6 |a Linguistique informatique. 
650 6 |a Changement linguistique. 
650 7 |a psycholinguistics.  |2 aat 
650 7 |a computational linguistics.  |2 aat 
650 7 |a Psycholinguistics  |2 fast 
650 7 |a Linguistic change  |2 fast 
650 7 |a Computational linguistics  |2 fast 
650 7 |a Philology & Linguistics.  |2 hilcc 
650 7 |a Languages & Literatures.  |2 hilcc 
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776 0 8 |i Print version:  |a Cooper, D.L.  |t Linguistic attractors.  |d Amsterdam ; Philadelphia, Pa. : J. Benjamins Pub. Co., ©1999  |w (DLC) 99010761 
830 0 |a Human cognitive processing ;  |v v. 2. 
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