Models of Language Acquisition: Inductive and Deductive Approaches

Paperback | July 1, 2002

byPeter Broeder, Jaap Murre

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This book presents recent advances by leading researchers in computational modelling of language acquisition. Sophisticated theoretical models can now be tested using simulation techniques and large corpora of linguistic data. Renewed interest in learning neural networks and the ability totest new solutions to fundamental problems has fuelled debates in an already very active field. The twenty-four authors in this collection of new work have been drawn from departments of linguistics, cognitive science, psychology, and computer sciene. The book as a whole shows what light may bethrown on fundamental problems when powerful computational techniques are combined with real data.A central question addressed in the book concerns the extent to which linguistic structure is readily available in the environment. The authors consider the evidence in relation to word boundaries and phonotactic structure, stress patterns, text-to-speech rules, and the mapping of lexical semantics,one author arguing that a child's own output may serve as a key source of linguistic input. Linguistic structure environment relations are central to the debate on the degree to which language learning is inductive or deductive; this issue is considered here in studies of the acquisition ofpluralization and inflectional morphology.The book examines the power and utility of different modelling formalisms for different problems and approaches: how far, for example, can connectionist models be used as models for language acquisition? To what degree can lexical items and categories be used in the construction of neural networkmodels or Markov chains be deployed to investigate the characteristics of a general language learning algorithm (Triggering Learning Algorithm)?This book will appeal to linguists, psychologists, and cognitive scientists working in language acquisition. It will also interest those involved in computational modelling in linguistics and behavioural science.

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This book presents recent advances by leading researchers in computational modelling of language acquisition. Sophisticated theoretical models can now be tested using simulation techniques and large corpora of linguistic data. Renewed interest in learning neural networks and the ability totest new solutions to fundamental problems has ...

Peter Broeder is at Tilburg University (Intercultrual Communication). Previously he participated in the European Science Foundation Project on the ecology of adult language acquisition (Max Planck Institute, Nijmegen). He currently directs large scale language surveys in Europe and South Africa. Jaap Murre is a Research Fellow in the ...

other books by Peter Broeder

Format:PaperbackDimensions:302 pages, 9.21 × 6.14 × 0.65 inPublished:July 1, 2002Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199256683

ISBN - 13:9780199256686

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Table of Contents

1. Peter Broeder and Jaap Murre: Introduction: The Computational Study of Language AcquisitionPart I: Words2. Brian MacWhinney: Lexicalist Connectionism3. Noel Sharkey, Amanda Sharkey, and Stuart Jackson: Are SRNs Sufficient for Modelling Language Acquisition?4. Antal van den Bosch and Walter Daelemans: A Distributed, Yet Symbolic Model for Text-to-Speech Processing5. Steven Gillis, Walter Daelemans, and Gert Durieux: "Lazy Learning": Natural and Machine Learning of Word StressPart II: Word Formation6. Richard Shillcock, Paul Cairns, Nick Chater, and Joe Levy: Statistical and Connectionist Modelling of the Development of Speech Segmentation7. Jeffrey Mark Siskind: Learning Word-to-Meaning Mappings8. Gary Marcus: Children's Overregularization and its Implication for Cognition9. Rainer Goebel and Peter Indefrey: A Recurrent Network with Short-term Memory Capacity Learning the German -S Plural10. Ramin Nakisa, Kim Plunkett, and Ulrike Hahn: Single- and Dual-Route Models of Inflectional MorphologyPart III: Word Order11. Partha Nyogi and Robert C. Berwick: Formal Models for Learning in the Principles and Parameters Framework12. Loeki Elbers: An Output-as-Input Hypothesis in Language AcquisitionNotes on ContributorsAddressesIndex

Editorial Reviews

`Review from hardback editionThis is a volume which fairly depicts the field that it represents.'Journal of Linguistics