Screen LibraryLanguage, cognitition, and computational models /
How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original analyses of specif...
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| Group Author: | ; |
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| Published: |
Cambridge University Press,
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| Publisher Address: | Cambridge, UK : |
| Publication Dates: | 2018. |
| Literature type: | Book |
| Language: | English |
| Series: |
Studies in natural language processing
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| Subjects: | |
| Summary: |
How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original analyses of specific problems and develop computational models that have been tested and evaluated on real data. Featuring contributions from a diverse group of experts, this interdisciplinary book bridges the gap between natural language processing and cognitive sciences. It is divided into three sections, focusin |
| Carrier Form: | xvi, 322 pages, 8 unnumbered pages of plates : illustrations (some color) ; 24 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9781107162228 110716222X |
| Index Number: | P37 |
| CLC: |
H09 H0-05 |
| Call Number: | H0-05/L287-25 |
| Contents: | Part I. About this book -- Introduction: cognitive issues in natural language processing / Thierry Poireau and Aline Villavicencio -- Part II. Models of neural and cognitive processing -- Light and deep parsing: a cognitive model of sentence processing / Philippe Blache -- Decoding language from the brain / Brian Murphy, Leila Wehbe, and Alona Fyshe -- Graph theory applied to speech: insights on cognitive deficit diagnosis and dream research / Natália Bezerra Mota, Mauro Copelli, and Sidarta Ribeiro -- Part III. Data driven models -- Putting linguistics back into computational linguistics / |