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Title Analogical modeling : an exemplar-based approach to language / edited by Royal Skousen, Deryle Lonsdale, Dilworth B. Parkinson
Published Amsterdam ; Philadelphia : J. Benjamins Pub., [2002]
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Description 1 online resource (x, 416 pages) : illustrations
Series Human cognitive processing, 1387-6724 ; v. 10
Human cognitive processing ; v. 10. 1387-6724
Contents Analogical Modeling; Editorial page; Title page; LCC data; Table of contents; List of contributors; Introduction; Part I: The basics of Analogical Modeling; Chapter 1: An overview of Analogical Modeling; Chapter 2: Issues in Analogical Modeling; Part II: Psycholinguistic evidence for Analogical Modeling; Chapter 3: Skousen's analogical approach as an exemplar-based model of categorization; Part III: Applications to specific languages; Chapter 4: Applying AnalogicalModeling to the German plural; Chapter 5: Testing Analogical Modeling; Part IV: Comparing Analogical Modeling with TiMBL
Summary Analogical Modeling (AM) is an exemplar-based general theory of description that uses both neighbors and non-neighbors (under certain well-defined conditions of homogeneity) to predict language behavior. This book provides a basic introduction to AM, compares the theory with nearest-neighbor approaches, and discusses the most recent advances in the theory, including psycholinguistic evidence, applications to specific languages, the problem of categorization, and how AM relates to alternative approaches of language description (such as instance families, neural nets, connectionism, and optimali
Notes "Much of the original impetus for this book results from the Conference on Analogical Modeling of the Language, held at Brigham Young University on 22-24 March 2000"--Page 8
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Analogy (Linguistics)
Form Electronic book
Author Lonsdale, Deryle.
Parkinson, Dilworth B., 1951-
Skousen, Royal.
Conference on Analogical Modeling of the Language (2000 : Brigham Young University)
LC no. 2002028283
ISBN 1588113027 (U.S.)
9027223629 (Eur.)
9027296944 (electronic bk.)
9781588113023 (U.S.)
9789027223623 (Eur.)
9789027296948 (electronic bk.)