人工智能驱动的语言学研究演进探索——基于CNKI与WOS的可视化比较研究
Exploring the Evolution of AI-Driven Linguistic Research—A Visualization-Based Comparative Study from CNKI and WOS
摘要: 近年来人工智能飞速发展，语言学研究正在经历深刻的变革。本文基于CiteSpace工具，对中国知网(CNKI)与Web of Science (WOS)数据库中的相关文献进行对比文献计量分析。从年度发文趋势、作者与机构合作网络、关键词共现及关键词演化四个维度展开研究，系统呈现国内外语言学研究在人工智能语境下的发展趋势。研究结果表明，中文文献更关注AI在语言教学、语料库技术等教育场景中的应用，英文文献则侧重于技术实现、计算模型及语言认知研究。本研究揭示了中外研究重点的差异，并探讨了差异形成的原因，同时为未来语言学与人工智能跨学科融合的方向提出了建议。
Abstract: In recent years, the rapid development of artificial intelligence brings many changes to linguistics. In this study, we perform comparative bibliometric analysis based on literature from CNKI and Web of Science by using CiteSpace method. We compare these literatures from four aspects: annual publication, author and institution collaboration, co-occurrence of keywords and evolution of research topics. The results show that, compared with international research, Chinese studies are more interested in applying AI in education, such as intelligent language teaching and corpus-based learning, while international research pays more attention to technical development, computational modeling and cognitive linguistics. Finding out these differences in research focus, we try to explore some possible reasons for it and put forward some suggestions for future research on cross-disciplinary cooperation between AI and linguistics.
文章引用：文嘉仪. 人工智能驱动的语言学研究演进探索——基于CNKI与WOS的可视化比较研究[J]. 现代语言学, 2026, 14(1): 820-832. https://doi.org/10.12677/ml.2026.141104

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