arXiv:2411.19858cs.CL2024-11被引 10

51年研究揭示语言学与人工智能深度关联,推动大模型发展。

What fifty-one years of Linguistics and Artificial Intelligence research tell us about their correlation: A scientometric analysis

  • 通过文献计量分析,梳理1974-2024年语言学与AI交叉研究脉络。
  • 2023年相关论文达1478篇,2024年前3个月超546篇,热点聚焦NLP与ChatGPT。
  • 揭示研究格局由多国中心、期刊与机构共同塑造,推动新应用落地。

语言学与人工智能(AI)之间存在强关联,尤其体现在深度学习语言模型中。本研究对1974至2024年共51年的交叉研究进行了系统的文献计量分析,数据来自Web of Science Core Collection(WoSCC),采用CiteSpace与VOSviewer软件进行可视化分析,生成知识图谱、趋势议题及新兴热点。结果显示,1980与1990年代研究尚不活跃,发表数量不稳定;此后显著增长,2023年达到1478篇,2024年1-3月已达546篇,新兴议题包括自然语言处理、横断面研究、双向编码器表示及使用ChatGPT,热点如新手程序员、优先级排序与人工智能,拓展了新方向、新主题并催生新应用,推动以ChatGPT为代表的强大深度学习语言模型发展。研究结论表明,语言学与人工智能的关联已在多个层面、研究机构、期刊与国家间形成合力,持续塑造该领域知识生产格局并重塑未来前沿。

原文摘要 · Abstract (English)

There is a strong correlation between linguistics and artificial intelligence (AI), best manifested by deep learning language models. This study provides a thorough scientometric analysis of this correlation, synthesizing the intellectual production over 51 years, from 1974 to 2024. Web of Science Core Collection (WoSCC) database was the data source. The data collected were analyzed by two powerful software, viz., CiteSpace and VOSviewer, through which mapping visualizations of the intellectual landscape, trending issues and (re)emerging hotspots were generated. The results indicate that in the 1980s and 1990s, linguistics and AI (AIL) research was not robust, characterized by unstable publication over time. It has, however, witnessed a remarkable increase of publication since then, reaching 1478 articles in 2023, and 546 articles in January-March timespan in 2024, involving emerging issues including Natural language processing, Cross-sectional study, Using bidirectional encoder representation, and Using ChatGPT and hotspots such as Novice programmer, Prioritization, and Artificial intelligence, addressing new horizons, new topics, and launching new applications and powerful deep learning language models including ChatGPT. It concludes that linguistics and AI correlation is established at several levels, research centers, journals, and countries shaping AIL knowledge production and reshaping its future frontiers.

语言学人工智能文献计量ChatGPT

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