Analogical modeling : an exemplar-based approach to language / edited by Royal Skousen, Deryle Lonsdale, Dilworth B. Parkinson.

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Material type: Text

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789027296948
9027296944
9789027223623
9027223629
9781588113023
1588113027
1282161547
9781282161542
9786612161544
661216154X

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Additional physical formats: Print version:: Analogical modeling.DDC classification:

417/.7 21

LOC classification:

P299.A48 A53 2002eb

Online resources:

Click here to access online

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.

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"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

Includes bibliographical references and index.

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.