LINGUIST List 14.110
Mon Jan 13 2003
Books: Comp Ling: Skousen, Lonsdale, Parkinson (eds.)
Editor for this issue: Marisa Ferrara <marisalinguistlist.org>
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paul, Analogical Modeling: Skousen, Lonsdale, Parkinson (eds.)
Message 1: Analogical Modeling: Skousen, Lonsdale, Parkinson (eds.)
Date: Thu, 09 Jan 2003 14:57:35 +0000
From: paul <paulbenjamins.com>
Subject: Analogical Modeling: Skousen, Lonsdale, Parkinson (eds.)
Title: Analogical Modeling
Subtitle: An exemplar-based approach to language
Series Title: Human Cognitive Processing 10
Publication Year: 2002
Publisher: John Benjamins
http://www.benjamins.com/, http://www.benjamins.nl
Book URL: http://www.benjamins.nl/cgi-bin/t_bookview.cgi?bookid=HCP_10
Editor: Royal Skousen, Brigham Young University
Editor: Deryle Lonsdale, Brigham Young University
Editor: Dilworth B. Parkinson, Brigham Young University
Hardback: ISBN: 9027223629, Pages: x, 417 pp., Price: EUR 103.00
Hardback: ISBN: 1588113027, Pages: x, 417 pp., Price: USD 103.00
Abstract:
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).
Table of Contents
List of contributors ix
Introduction
Royal Skousen 1
I. The basics of Analogical Modeling
1. An overview of Analogical Modeling
Royal Skousen 11
2. Issues in Analogical Modeling
Royal Skousen 27
II. Psycholinguistic evidence for Analogical Modeling
3. Skousen's analogical approach as an exemplar-based model of
categorization
Steve Chandler 51
III. Applications to specific languages
4. Applying Analogical Modeling to the German plural
Douglas J. Wulf 109
5. Testing Analogical Modeling: The /k/ ~ � alternation in Turkish
C. Anton Rytting 123
IV. Comparing Analogical Modeling with TiMBL
6. A comparison of two analogical models: Tilburg Memory-Based Learner
versus Analogical Modeling
David Eddington 141
7. A comparison of Analogical Modeling to Memory-Based Language
Processing
Walter Daelemans 157
8. Analogical hierarchy: Exemplar-based modeling of linkers in Dutch
noun-noun compounds
Andrea Krott, Robert Schreuder and R. Harald Baayen 181
V. Extending Analogical Modeling
9. Expanding k-NN analogy with instance families
Antal van den Bosch 209
10. Version spaces, neural networks, and Analogical Modeling
Mike Mudrow 225
11. Exemplar-driven analogy in Optimality Theory
James Myers 265
12. The hope for analogous categories
Christer Johansson 301
VI. Quantum computing and the exponential explosion
13. Analogical Modeling and quantum computing
Royal Skousen 319
VII. Appendix
14. Data files for Analogical Modeling
Deryle Lonsdale 349
15. Running the Perl/C version of the Analogical Modeling program
Dilworth B. Parkinson 365
16. Implementing the Analogical Modeling algorithm
Theron Stanford 385
Lingfield(s): Cognitive Science
Computational Linguistics
Psycholinguistics
Written In: English (Language Code: ENG)