Computational Psycholinguistics
Computational Psycholinguistics: AI and Connectionist Models of
Human Language Processing. Edited by
Ton Dijkstra
(University of Nijmegen, The Netherlands)
and
Koenraad de Smedt
(University of Bergen, Norway).
London: Taylor & Francis
ISBN 0-7484-0465-1 (hbk) - 49 pounds, 448 pp.
ISBN 0-7484-0466-X (pbk) - 18.95 pounds.
Computational Psycholinguistics gives a multidisciplinary overview of current computational models in the domain of human language processing. The first part of the book introduces the basic two paradigms for computer modelling: the Artificial Intelligence paradigm, using symbol manipulation, and the connectionist approach, using neural networks. The second part presents chapters on various subdomains of language comprehension, ranging from speech recognition to discourse comprehension. Part three has an analogous structure for language production, ranging from discourse planning to articulation and handwriting.
Each chapter explains and compares several representative computer models against the background of current experimental and theoretical work in psycholinguistics. The chapters can be looked at individually giving a modular structure which allows for a selection of chapters depending on course load, or thematic restrictions. The bookÕs approach is multidisciplinary, bringing together viewpoints from psychology, linguistics, computer science, cognitive science, and philosophy.
Computational Psycholinguistics is, therefore, of interest to an audience consisting of advanced students and researchers in psychology and psycholinguistics, general and computational linguistics, and Cognitive Science. It can be used as a main textbook for specialized courses on computational psycholinguistics or as a recommended or complementary text in advanced level courses.
Preface
Chapter 1
Computer Models in Psycholinguistics: An Introduction
Ton Dijkstra & Koenraad de Smedt
Chapter 2
Computational Modelling in Artificial Intelligence
Walter Daelemans & Koenraad de Smedt
Chapter 3
Connectionist Modelling
Jacob M.J. Murre & Rainer Goebel
Chapter 5
Computational Models of Spoken Word Recognition
Uli H. Frauenfelder
Chapter 6
Visual Word Recognition: Models and Experiments
Jonathan Grainger & Ton Dijkstra
Chapter 7
Modelling the Processing of Morphologically Complex Words
R. Harald Baayen & Robert Schreuder
Chapter 8
Computational Models of Syntactic Processing in Language Comprehension
Gerard Kempen
Chapter 9
Discourse Comprehension Models
Alan Garnham
Chapter 11
Computational Models of Incremental Grammatical Encoding
Koenraad de Smedt
Chapter 12
Computational Models of Lemma Retrieval
Ardi Roelofs
Chapter 13
Computational Models of Phonological Encoding
Gary S. Dell & Cornell Juliano
Chapter 14
Modelling Approaches in Speech Production
Lou Boves & Bert Cranen
Chapter 15
Computer Models of Handwriting
Lambert R.B. Schomaker & Gerard P. Van Galen
Notes on Contributors
Index