Analogical Modeling

An exemplar-based approach to language

Edited by Royal Skousen, Deryle Lonsdale and Dilworth B. Parkinson
Brigham Young University, Provo, UTah / Brigham Young University, Provo, Utah
John Benjamins
Human Cognitive Processing 10 
2002. x, 417 pp.
Hardbound
1 58811 302 7 / USD 93.00
90 272 2362 9 / EUR 103.00

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/ ~Ø 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 
“It used to be a cliche that language users produce and understand new utterances on the basis of analogies they construct with previous linguistic experiences. A formal articulation of the notion of analogy was, however, lacking for a long time. Skousen's explicit formulation of analogy has triggered a resurgence of interest in analogy-based language processing. This book does a wonderful job of combining a tutorial on analogical modeling with a state-of-the-art overview of the field. It should be read by all who are interested in the interface between language, cognition, and computation.”
Rens Bod, University of Amsterdam 

“Analogy - one of the most intuitive but elusive processes in language learning and change is here confronted directly, given a formal implementation and shown to be the force behind rule-like behavior.”
Joan Bybee, University of New Mexico, Albuquerque

“The latest word on analogical modeling. This volume clearly distinguishes AM from both connectionism and symbolic rule systems.”
Bruce Derwing, University of Alberta, Edmonton