Language, Cognition, and Computational Models (Hardcover)


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, focusing respectively on models of neural and cognitive processing, data driven methods, and social issues in language evolution. This book will be useful to any researcher and advanced student interested in the analysis of the links between the brain and the language faculty.

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Product Description

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, focusing respectively on models of neural and cognitive processing, data driven methods, and social issues in language evolution. This book will be useful to any researcher and advanced student interested in the analysis of the links between the brain and the language faculty.

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Product Details

General

Imprint

Cambridge UniversityPress

Country of origin

United Kingdom

Series

Studies in Natural Language Processing

Release date

2018

Availability

Expected to ship within 12 - 17 working days

Editors

,

Dimensions

235 x 158 x 25mm (L x W x T)

Format

Hardcover

Pages

336

ISBN-13

978-1-107-16222-8

Barcode

9781107162228

Categories

LSN

1-107-16222-X



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