LINGUIST List 14.110

Mon Jan 13 2003

Books: Comp Ling: Skousen, Lonsdale, Parkinson (eds.)

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  1. 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)

			
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