Analogical Modeling

An exemplar-based approach to language

Editors

Royal Skousen | Brigham Young University, Provo, Utah

Deryle Lonsdale | Brigham Young University, Provo, Utah

Dilworth B. Parkinson | Brigham Young University, Provo, Utah

Hardbound – Available

ISBN 9789027223623 (Eur) | EUR 125.00

ISBN 9781588113023 (USA) | USD 188.00

e-Book –

ISBN 9789027296948 | EUR 125.00 | USD 188.00

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).

[Human Cognitive Processing, 10] 2002. x, 416 pp.

Publishing status: Available

https://doi.org/10.1075/hcp.10

Table of Contents

List of contributors | p. ix

Introduction

Royal Skousen | pp. 1–8

Part I. The basics of Analogical Modeling

1. An overview of Analogical Modeling

Royal Skousen | pp. 11–26

2. Issues in Analogical Modeling

Royal Skousen | pp. 27–48

Part II. Psycholinguistic evidence for Analogical Modeling

3. Skousen’s analogical approach as an exemplar-based model of categorization

Steve Chandler | pp. 51–105

Part III. Applications to specific languages

4. Applying Analogical Modeling to the German plural

Douglas J. Wulf | pp. 109–122

5. Testing Analogical Modeling: The /k/~Ø alternation in Turkish

C. Anton Rytting | pp. 123–137

Part IV. Comparing Analogical Modeling with TiMBL

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

David Eddington | pp. 141–155

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

Walter Daelemans | pp. 157–179

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

Andrea Krott, Robert Schreuder and Harald Baayen | pp. 181–206

Part V. Extending Analogical Modeling

9. Expanding k -NN analogy with instance families

Antal van den Bosch | pp. 209–223

10. Version spaces, neural networks, and Analogical Modeling

Mike Mudrow | pp. 225–264

11. Exemplar-driven analogy in Optimality Theory

James Myers | pp. 265–300

12. The hope for analogous categories

Christer Johansson | pp. 301–316

Part VI. Quantum computing and the exponential explosion

13. Analogical Modeling and quantum computing

Royal Skousen | pp. 319–346

Part VII. Appendix

14. Data files for Analogical Modeling

Deryle Lonsdale | pp. 349–363

15. Running the Perl/C version of the Analogical Modeling program

Dilworth B. Parkinson | pp. 365–383

16. Implementing the Analogical Modeling algorithm

Theron Stanford | pp. 385–409

Index | pp. 411–416

“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

“This book succeeds extremely well in providing the reader with a tutorial on analogical modeling (AM) and the state-of-the art of the field, and is especially interesting for computational linguists.”

Remi van Trijp, Sony Computer Science Laboratory Paris, in ICLA-review, February 2008

Cited by

Cited by 28 other publications

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2008. Book Review. Journal of Quantitative Linguistics 15:2 ► pp. 212 ff.

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2013. Taxonomies. In Computational Paralinguistics, ► pp. 21 ff.

No author info given

2020. Chapter 4. On the disappearance of August Schleicher in the writings of the Neogrammarians. In Last Papers in Linguistic Historiography [Studies in the History of the Language Sciences, 128], ► pp. 70 ff.

ARNDT-LAPPE, SABINE

2011. Towards an exemplar-based model of stress in English noun–noun compounds. Journal of Linguistics 47:3 ► pp. 549 ff.

ARNDT-LAPPE, SABINE

2014. Analogy in suffix rivalry: the case of English -ityand -ness. English Language and Linguistics 18:3 ► pp. 497 ff.

Benjamin, D. Paul, Deryle Lonsdale & Damian Lyons

2007. . In Proceedings of the ACM/IEEE international conference on Human-robot interaction, ► pp. 185 ff.

Divjak, Dagmar, Petar Milin, Adnane Ez-zizi, Jarosław Józefowski & Christian Adam

2021. What is learned from exposure: an error-driven approach to productivity in language. Language, Cognition and Neuroscience 36:1 ► pp. 60 ff.

Farhy, Yael

2020. Morphological generalization of Hebrew verb classes. The Mental Lexicon 15:2 ► pp. 223 ff.

Guzmán Naranjo, Matías

2020. Analogy, complexity and predictability in the Russian nominal inflection system. Morphology 30:3 ► pp. 219 ff.

Heitmeier, Maria, Yu-Ying Chuang & R. Harald Baayen

2021. Modeling Morphology With Linear Discriminative Learning: Considerations and Design Choices. Frontiers in Psychology 12

Johnsen, Lars G. & Christer Johansson

2005. Efficient Modeling of Analogy. In Computational Linguistics and Intelligent Text Processing [Lecture Notes in Computer Science, 3406], ► pp. 694 ff.

Milin, Petar, Emmanuel Keuleers & Dušica Đurđević

2011. Allomorphic responses in Serbian pseudo-nouns as a result of analogical learning. Acta Linguistica Hungarica 58:1 ► pp. 65 ff.

Nesset, Tore & Anastasia Makarova

2014. Testing the Semantic Homogeneity Constraint. Journal of Historical Linguistics 4:2 ► pp. 161 ff.

Nikolaeva, Irina

2020. Constructional analogy and reanalysis in possessive applicatives. Glossa: a journal of general linguistics 5:1

Plag, Ingo

2020. Productivity. In The Handbook of English Linguistics, ► pp. 483 ff.

Rys, Kathy, Emmanuel Keuleers, Walter Daelemans & Steven Gillis

2017. Chapter 10. Acquisition of phonological variables of a Flemish dialect by children raised in Standard Dutch. In Acquiring Sociolinguistic Variation [Studies in Language Variation, 20], ► pp. 267 ff.

Rácz, Péter, Viktória Papp & Jennifer Hay

2016. Frequency and Corpora. In The Cambridge Handbook of Morphology, ► pp. 685 ff.

Rácz, Péter, Janet B. Pierrehumbert, Jennifer B. Hay & Viktória Papp

2015. Morphological Emergence. In The Handbook of Language Emergence, ► pp. 123 ff.

Räsänen, Sanna H. M., Ben Ambridge & Julian M. Pine

2016. An Elicited‐Production Study of Inflectional Verb Morphology in Child Finnish. Cognitive Science 40:7 ► pp. 1704 ff.

Sandra, Dominiek

2010. Psycholinguistics. In Handbook of Pragmatics, ► pp. 1 ff.

SIMS-WILLIAMS, HELEN

2022. Token frequency as a determinant of morphological change. Journal of Linguistics 58:3 ► pp. 571 ff.

Skousen, Royal

2012. Analogical Models. In Encyclopedia of the Sciences of Learning, ► pp. 217 ff.

Strik, Oscar

2014. Explaining tense marking changes in Swedish verbs. Journal of Historical Linguistics 4:2 ► pp. 192 ff.

SÓSKUTHY, MÁRTON

2013. Analogy in the emergence of intrusive-rin English. English Language and Linguistics 17:1 ► pp. 55 ff.

Tummers, Jose, Kris Heylen & Dirk Geeraerts

2005. Usage-based approaches in Cognitive Linguistics: A technical state of the art. Corpus Linguistics and Linguistic Theory 1:2

UCHIHARA, HIROTO & GREGORIO TIBURCIO CANO

2020. A phonological account of Tlapanec (Mè’phàà) tonal alternation. Journal of Linguistics 56:4 ► pp. 807 ff.

van den Bosch, Antal & Walter Daelemans

2013. Implicit Schemata and Categories in Memory-based Language Processing. Language and Speech 56:3 ► pp. 309 ff.

Versloot, Arjen P. & Eric Hoekstra

2019. Blocking as a Function of the Nature of Linguistic Representations: Where Psycholinguistics and Morphology Meet. In Competition in Inflection and Word-Formation [Studies in Morphology, 5], ► pp. 145 ff.

This list is based on CrossRef data as of 03 february 2023. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

Subjects & Metadata

Linguistics

Cognition and language

Natural language processing

Psycholinguistics

BIC Subject: CF – Linguistics

BISAC Subject: LAN009000 – LANGUAGE ARTS & DISCIPLINES / Linguistics / General

ONIX Metadata

ONIX 2.1

ONIX 3.0

U.S. Library of Congress Control Number: 2002028283 | Marc record