Language, Cognition, and Computational Models

丛 书 名：Studies in Natural Language Processing

作     者：Thierry Poibeau Aline Villavicencio 

I S B N：(纸本) 9781107162228 

出 版 社：Cambridge University Press 

出 版 年：2018年

页      数：xvi, 322 pages,页

主 题 词：Psycholinguistics. Language acquisition. 

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：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.