Language, Cognition, and Computational Models

Language, Cognition, and Computational Models pdf epub mobi txt 电子书 下载 2025

出版者:Cambridge University Press
作者:
出品人:
页数:350
译者:
出版时间:2017-10-31
价格:USD 89.99
装帧:Hardcover
isbn号码:9781107162228
丛书系列:
图书标签:
  • 语言认知
  • 语言学
  • 认知科学
  • 认知建模
  • 计算语言学
  • 计算机
  • 心理学
  • 语言学
  • 认知科学
  • 计算模型
  • 认知语言学
  • 自然语言处理
  • 心理语言学
  • 人工智能
  • 机器学习
  • 神经语言学
  • 语言与思维
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具体描述

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.

作者简介

Thierry Poibeau is Director of Research at Centre National de la Recherche Scientifique (CNRS), Paris and head of the LaTTiCE laboratory in Paris, France. His is also an affiliated lecturer at the Department of Theoretical and Applied Linguistics (DTAL) of the University of Cambridge. He works on natural language processing (NLP), in particular focusing on information extraction, question answering, semantic zoning, knowledge acquisition from text, and named entity tagging.

Aline Villavicencio is a Reader at the Institute of Informatics, Universidade Federal do Rio Grande do Sul, Brazil, and is a fellow of CNPq (Brazil). Her research interests in natural language processing are in computational models of acquisition of linguistic information from data, distributional semantic models, multiword expression, and applications like text simplification and question answering.

目录信息

A Cognitive Model of Sentence
27
Decoding Language from the Brain
53
Deficit Diagnosis and Dream Research
81
Putting Linguistics Back into Computational Linguistics
101
A Distributional Model of VerbSpecific Semantic Roles
118
Native Language Identification on EFCAMDAT
159
A UtilityBased
185
Between Rousseaus
227
Computer Models
256
A Case Study
289
Index
319
· · · · · · (收起)

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