基于CiteSpace的国内语料库语言学可视化分析

A Visualized Analysis of Knowledge Map of Corpus Linguistics Research Based on CiteSpace

摘要: 语料库语言学作为一门融合了社会学、语言学，心理学、人类学等科目的学科，于20世纪70年代末传入我国，对国内社会的发展产生了积极影响。本研究借助CiteSpace计量学软件，以中国学术网络出版总库(CNKI)在2017~2023年间所有期刊类语料库语言学论文为研究对象，通过作者和机构共现网络知识图谱、关键词共现网络知识图谱和关键词突现图、年度文献分布维度分析我国语料库语言学作者间与机构间的学术现状、学界的研究热点，并预测未来研究趋势与前沿。研究发现：2015年为语料库语言学研究的峰值年，研究热点领域为“中国形象”“话语分析”“对比分析”“语义韵”；近些年的研究主要集中在话语分析和二语习得；语料库研究出现新的发展变化，跨学科特征呈现上升趋势。

Abstract: Corpus linguistics, as a discipline that integrates sociology, linguistics, psychology, anthropology, and other subjects, was introduced to China in the late 1970s and had a positive impact on the de-velopment of domestic society. This study used CiteSpace econometric software to analyze the aca-demic status and research hotspots of Chinese corpus linguistics among authors and institutions, as well as among institutions, through the co-occurrence network knowledge graph, keyword co-occurrence network knowledge graph, and keyword emergence graph of all journal corpus lin-guistic papers in CNKI from 2017 to 2023. The study also predicted future research trends and frontiers. Research has found that the hot areas of corpus research in 2015 were “Chinese image”, “discourse analysis”, “comparative analysis”, and “semantic rhyme”. In recent years, research has mainly focused on discourse analysis and second language acquisition. Corpus research has seen new developments and changes, with interdisciplinary characteristics showing an upward trend.