Title Statements
- Full title :Language, cognitition, and computational models / edited by Thierry Poibeau, Aline Villavicencio.
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, 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.
Read More ↓Edition Statements
- Publication Date:2018.
Publication Statements
- Publisher(s):Cambridge University Press
- Place of Publication:Cambridge, UK
- Language:eng
- Publication Date:2018.
The Physical Object
- Description:1 vol. (XVI-322 p.-8 f.de pl.) : : ill., graphiques. ; : 24 cm.
Edition Identifiers
- ISBN:9781107162228, 110716222X
- oclc:on1289229637
Table of 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 / Martin Kay -- A distributional model of verb-specific semantic roles inferences / Gianluca E. Lebani and Alessandro Lenci -- Native language identification on EFCAMDAT / Xiao Jiang, Yan Huang, Yufan Guo, Jeroen Geertzen, Theodora Alexopoulou, Lin Sun, and Anna Korhonen -- Evaluating language acquisition models: a utility-based look at Bayesian segmentation / Lisa Pearl and Lawrence Phillips -- Part IV. Social and language evolution -- Social evolution of public languages: between Rousseau's Eden and Hobbes' Leviathan / Anne Reboul -- Genetic biases in language: computer models and experimental …
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