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

Format:

Book

Conference/Event

Contributor:

Skousen, Royal.

Lonsdale, Deryle.

Parkinson, Dilworth B., 1951-

Conference Name:

Conference on Analogical Modeling of the Language (2000 : Brigham Young University)

Series:

Human cognitive processing ; v. 10.

Human cognitive processing, 1387-6724 ; v. 10

Language:

English

Subjects (All):

Analogy (Linguistics).

Psycholinguistics.

Physical Description:

1 online resource (427 pages)

Edition:

1st ed.

Place of Publication:

Amsterdam ; Philadelphia : J. Benjamins Pub., c2002.

Language Note:

English

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 optimality theory). The book closes with a thorough examination of the problem of the exponential explosion, an inherent difficulty in AM (and in fact all theories of language description). Quantum computing (based on quantum mechanics with its inherent simultaneity and reversibility) provides a precise and natural solution to the exponential explosion in AM. Finally, an extensive appendix provides three tutorials for running the AM computer program (available 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

Chapter 6: A comparison of two analogical models. Tilburg Memory-Based Learner versus Analogical Modeling

Chapter 7: A comparison of Analogical Modeling to Memory-Based Language Processing

Chapter 8: Analogical hierarchy Exemplar-based modeling of linkers in Dutch noun-noun compounds

Part V: Extending Analogical Modeling

Chapter 9: Expanding k-NN analogy with instance families

Chapter 10: Version spaces, neural networks, and Analogical Modeling

Chapter 11: Exemplar-driven analogy in Optimality Theory

Chapter 12: The hope for analogous categories

Part VI: Quantum computing and theexponential explosion

Chapter 13: AnalogicalModeling and quantum computing

Part VII: Appendix

Chapter 14: Data files for Analogical Modeling

Chapter 15: Running the Perl/C version of the Analogical Modeling program

Chapter 16: Implementing the Analogical Modeling algorithm

Index

In the series HUMAN COGNITIVE PROCESSING (HCP).

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"--P. 8.

Includes bibliographical references and index.

ISBN:

9786612161544

9781282161542

1282161547

9789027296948

9027296944

OCLC:

1491309168