摘要
文章探讨语言研究为什么以及如何协同相关学科。语言不纯粹是语言现象的语言,同时还是具有神经生理载体的语言,能够运作的语言。从语言如此基本特性出发,笔者重点论证构建理论模式的超学科意识,及其假设模式-汇集验证的科学方法。在超学科意识的关照下,笔者就理论模式的构建和验证,讨论了四大问题:宏观架构、符号和关系、理论过程和认知过程以及概括性和使用分布。在和语言系统基本特性保持一致的前提下,笔者论证了处理四大问题的有效方略。
This present paper discusses why and how language research cooperates with other related disciplines to effectively account for and explain the linguistic system.Language covers not merely language expressions(or speech), but also the system dwelling in the dynamic neural networks of the brain.Within the perspective of the basic properties of language, the author focuses on the study of the hyper-disciplinary awareness in constructing theoretical models and the relevant scientific methods of hypothetical-modelling and convergent-testing.In the light of this hyper-disciplinary awareness, the author discusses four major issues concerning the construction and verification of the theoretical model: macro-structure of the linguistic system, symbols vs.relations, theoretical process vs.cognitive process, and generality vs.usage distribution.To be consistent with the basic properties of the linguistic system, the author argues for the effective strategies to deal with the four major research problems.
作者
程琪龙
CHENG Qilong(Shanghai University,Shanghai 200444,China)
出处
《外国语》
CSSCI
北大核心
2020年第2期52-60,共9页
Journal of Foreign Languages
基金
国家社会科学基金项目“语义—句法互动的定量分析”(16AYY020)。
关键词
认知语言学
神经认知语言学
神经科学
人工智能
超学科研究
Cognitive Linguistics
Neurocognitive Linguistics
neuroscience
artificial intelligence
hyper-disciplinary research