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Zusatztext Review from hardback editionThis is a volume which fairly depicts the field that it represents. Informationen zum Autor 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 Department of Psychology, University of Amsterdam. Previously he worked as a scientist at the Applied Psychology Unit of the Medical Research Council in Cambridge. Dr Murre also heads a research group sponsored by a PIONIER grant from the Netherlands Organzation for Scientific Research (NWO). Klappentext This book presents recent advances by leading researchers in computational modelling of language acquisition. The contributors have been drawn from departments of linguistics! cognitive science! psychology! and computer science. They show what light can be thrown on fundamental problems when powerful computational techniques are combined with real data. The book considers the extent to which linguistic structure is readily available in the environment! the degree to which language learning is inductive or deductive! and the power of different modelling formalisms for different problems and approaches. It will appeal to linguists! psychologists! cognitive scientists working in language acquisition!and to those involved in computational modelling in linguistic and behavioral science. Zusammenfassung Presents advances by leading researchers in computational modelling of language acquisition. A central question addressed in this book concerns the extent to which linguistic structure is readily available in the environment. It examines the power and utility of different modelling formalisms for different problems and approaches. Inhaltsverzeichnis 1: Peter Broeder and Jaap Murre: Introduction: The Computational Study of Language Acquisition Part I: Words 2: Brian MacWhinney: Lexicalist Connectionism 3: 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 Processing 5: Steven Gillis, Walter Daelemans, and Gert Durieux: "Lazy Learning": Natural and Machine Learning of Word Stress Part II: Word Formation 6: Richard Shillcock, Paul Cairns, Nick Chater, and Joe Levy: Statistical and Connectionist Modelling of the Development of Speech Segmentation 7: Jeffrey Mark Siskind: Learning Word-to-Meaning Mappings 8: Gary Marcus: Children's Overregularization and its Implication for Cognition 9: Rainer Goebel and Peter Indefrey: A Recurrent Network with Short-term Memory Capacity Learning the German -S Plural 10: Ramin Nakisa, Kim Plunkett, and Ulrike Hahn: Single- and Dual-Route Models of Inflectional Morphology Part III: Word Order 11: Partha Nyogi and Robert C. Berwick: Formal Models for Learning in the Principles and Parameters Framework 12: Loeki Elbers: An Output-as-Input Hypothesis in Language Acquisition Notes on Contributors Addresses Index ...
