认知语言学量化转向的新发展:认知语料库语言学
New Developments in the Quantitative Turn of Cognitive Linguistics:Cognitive Corpus Linguistics
吴淑琼 1江艳艳1
作者信息
摘要
认知语料库语言学是认知语言学和语料库语言学的融合,是认知语言学"量化转向"的结果.本研究阐释了认知语言学和语料库语言学融合的可行性,综述了认知语料库语言学的主要研究范式和研究现状,并展望了其未来的研究趋势.研究发现:认知语料库语言学目前主要采用的研究方法有构式搭配分析法、行为特征分析法和语义向量空间模型;现阶段的研究主题聚焦于词汇语义、构式、词缀、语序等方面.未来认知语料库研究在内容上将更注重跨语言对比研究,研究视角上倾向于历时研究,而研究方法上将呈现多种实证研究方法的跨界整合.
Abstract
Cognitive corpus linguistics is an integration of Cognitive Linguistics and corpus linguistics,which is the product of the quantitative turn of Cognitive Linguistics.This paper addresses the feasibility of the combination of Cognitive Linguistics and corpus linguistics and analyzes the main research paradigms,the current research foci and the future research trends of cognitive corpus linguistics.The analysis reveals the following findings.The main research methods used in cognitive corpus linguistics include collostructional analysis,behavioral profile analysis,and semantic vector space models.Its current research focuses on lexical semantics,constructions,affixes,word order and so on.Cognitive corpus linguistics will involve more cross-linguistic and diachronic studies and adopt a greater variety of empirical research methods in future.
关键词
认知语料库语言学/认知语言学/语料库语言学/量化分析Key words
Cognitive Corpus Linguistics/Cognitive Linguistics/Corpus Linguistics/Quantitative Analysis引用本文复制引用
基金项目
四川外国语大学外国语言文学市级一流学科重点项目(SISUWYJY202102)
出版年
2024
NETL
NSTL
万方数据