Language, Cognition, and Computational Models
Nonfiction, Computers, Advanced Computing, Natural Language Processing, General Computing, Reference & Language, Language Arts
| Author: | ISBN: | 9781108506786 | |
| Publisher: | Cambridge University Press | Publication: | January 25, 2018 |
| Imprint: | Cambridge University Press | Language: | English |
| Author: | |
| ISBN: | 9781108506786 |
| Publisher: | Cambridge University Press |
| Publication: | January 25, 2018 |
| Imprint: | Cambridge University Press |
| Language: | English |
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.
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.
