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Soft cover. Condizione: Very Good. VERY GOOD softcover, no marks in text, square uncreased spine. Book.

Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9780199256686.

Soft cover. Condizione: Fine. Condizione sovraccoperta: No Jacket as Issued. Just About As New.

Softcover. Condizione: Bon. Ancien livre de bibliothèque. Petite(s) trace(s) de pliure sur la couverture. Salissures sur la tranche. Edition 2003. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slightly creased cover. Stains on the edge. Edition 2003. Ammareal gives back up to 15% of this item's net price to charity organizations.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

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Condizione: New.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

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Paperback. Condizione: new. Paperback. 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 to test 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 fromdepartments of linguistics, cognitive science, psychology, and computer sciene. The book as a whole shows what light may be thrown on fundamental problems when powerful computational techniques are combinedwith 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 debateon the degree to which language learning is inductive or deductive; this issue is considered here in studies of the acquisition of pluralization and inflectional morphology.Thebook 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 network models 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. This book presents recent advances 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condizione: New. In.

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Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

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Condizione: new. Questo è un articolo print on demand.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. 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 to test 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 fromdepartments of linguistics, cognitive science, psychology, and computer sciene. The book as a whole shows what light may be thrown on fundamental problems when powerful computational techniques are combinedwith 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 debateon the degree to which language learning is inductive or deductive; this issue is considered here in studies of the acquisition of pluralization and inflectional morphology.Thebook 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 network models 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. This book presents recent advances 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 485.

Paperback. Condizione: new. Paperback. 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 to test 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 fromdepartments of linguistics, cognitive science, psychology, and computer sciene. The book as a whole shows what light may be thrown on fundamental problems when powerful computational techniques are combinedwith 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 debateon the degree to which language learning is inductive or deductive; this issue is considered here in studies of the acquisition of pluralization and inflectional morphology.Thebook 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 network models 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. This book presents recent advances 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 utili.

Condizione: New. Print on Demand pp. 304.

Condizione: New. PRINT ON DEMAND pp. 304.

Taschenbuch. Condizione: Neu. Models of Language Acquisition (Inductive and Deductive Approaches) | Peter Broeder (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2002 | OUP Oxford | EAN 9780199256686 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Condizione: New. Print on Demand pp. 304.