A Neurolinguistic Model of Grammatical Construction Processing

Author:

Dominey Peter Ford1,Hoen Michel1,Inui Toshio2

Affiliation:

1. 1CNRS UMR 5015, France

2. 2Kyoto University, Japan

Abstract

Abstract One of the functions of everyday human language is to communicate meaning. Thus, when one hears or reads the sentence, “John gave a book to Mary,” some aspect of an event concerning the transfer of possession of a book from John to Mary is (hopefully) transmitted. One theoretical approach to language referred to as construction grammar emphasizes this link between sentence structure and meaning in the form of grammatical constructions. The objective of the current research is to (1) outline a functional description of grammatical construction processing based on principles of psycholinguistics, (2) develop a model of how these functions can be implemented in human neurophysiology, and then (3) demonstrate the feasibility of the resulting model in processing languages of typologically diverse natures, that is, English, French, and Japanese. In this context, particular interest will be directed toward the processing of novel compositional structure of relative phrases. The simulation results are discussed in the context of recent neurophysiological studies of language processing.

Publisher

MIT Press - Journals

Subject

Cognitive Neuroscience

Cited by 58 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Age effects in second language acquisition: Expanding the emergentist account;Brain and Language;2023-06

2. The EsnTorch Library: Efficient Implementation of Transformer-Based Echo State Networks;Communications in Computer and Information Science;2023

3. In Search of a Neural Model for Serial Order: A Brain Theory for Memory Development and Higher Level Cognition;IEEE Transactions on Cognitive and Developmental Systems;2022-06

4. Narrative event segmentation in the cortical reservoir;PLOS Computational Biology;2021-10-07

5. Efficient Text Classification with Echo State Networks;2021 International Joint Conference on Neural Networks (IJCNN);2021-07-18

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3