mlsanityData to 14 Oct 2026

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

arXiv 2411.19858 ↗First posted 29 Nov 2024cs.CLcited by 8

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Abstract (arXiv)

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.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 24 of its 116 references that are in the map. First posted on arXiv 29 Nov 2024.

Builds on

24 of 116 references.

References · 24

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12 more
  1. 2019On The Evaluation of Machine Translation Systems Trained With Back-Translationcited by 40
  2. 2019Still a Pain in the Neck: Evaluating Text Representations on Lexical Compositioncited by 27
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  12. 2023Web of Science Core Collection's coverage expansion:The forgotten Arts & Humanities Citation Index?cited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 8.

8 papers.

  1. 2026Machine learning and emoji prediction: How much accuracy can MARBERT achieve?cited by 2
  2. 2026Does Machine "know" interpersonal pragmatics? Evidence from MARBERT's learning of emoji pragmatics in Arabic digital discoursecited by 2
  3. 2026Revisiting the syntax of imperatives in Yemeni Arabic: An Agree across phases approachcited by 1
  4. 2026Current LLMs still cannot 'talk much' about grammar modules: Evidence from syntaxcited by 0
  5. 2026The impact of postediting on AI generative translation in Yemeni context: Translating literary prose by ChatGPTcited by 0
  6. 2026AI tools in Arab University English classrooms: Looking back and forwardcited by 0
  7. 2026Machine learning and digital pragmatics: Which word category influences emoji use most?cited by 0
  8. 2026A generative-informed neuro-symbolic framework for syntactic ambiguity resolution: Evidence from Arabic DPscited by 0