Language, Cognition, and Computational Models

Studies in Natural Language Processing

by Thierry Poibeau (Editor), Aline Villavicencio (Editor)

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.

336 pages, Hardcover

Published January 25, 2018

About the author

Thierry Poibeau is Director of Research at the Centre National de la Recherche Scientifique in Paris, Head of the LATTICE (Langues, Textes, Traitements Informatiques et Cognition) Laboratory, and Affiliated Lecturer in the Department of Theoretical and Applied Linguistics at the University of Cambridge.