Paradigm Shift in Domestic Linguistic Research Driven by Intelligent Technology: A Bibliometric Analysis Based on CiteSpace

Qin Guo; Yaoyou Zhang

doi:10.47297/taposatWSP2633-456922.20260702

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Paradigm Shift in Domestic Linguistic Research Driven by Intelligent Technology: A Bibliometric Analysis Based on CiteSpace

7卷第2期

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Paradigm Shift in Domestic Linguistic Research Driven by Intelligent Technology: A Bibliometric Analysis Based on CiteSpace
Paradigm Shift in Domestic Linguistic Research Driven by Intelligent Technology: A Bibliometric Analysis Based on CiteSpace
1.College of International Cultural Exchange, Xinjiang Normal University, Urumqi, Xinjiang, 830000, China
2.Aba Teachers University, School of Physics and Electronic- Electrical Engineering, Aba Tibetan and Qiang Autonomous Prefecture, Sichuan, 623002, China
2026年7卷第2期页码：110-115
纸质出版：2026-02-28
DOI：10.47297/taposatWSP2633-456922.20260702
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Qin Guo & Yaoyou Zhang. (2026). Paradigm Shift in Domestic Linguistic Research Driven by Intelligent Technology: A Bibliometric Analysis Based on CiteSpace. 科技理论与实践（英文版）, 7(2), 110-115.

Guo Qin,Zhang Yaoyou.Paradigm Shift in Domestic Linguistic Research Driven by Intelligent Technology: A Bibliometric Analysis Based on CiteSpace[J].Theory and Practice of Science and Technology,2026,07(02):110-115.
Qin Guo & Yaoyou Zhang. (2026). Paradigm Shift in Domestic Linguistic Research Driven by Intelligent Technology: A Bibliometric Analysis Based on CiteSpace. 科技理论与实践（英文版）, 7(2), 110-115. DOI： 10.47297/taposatWSP2633-456922.20260702.

Guo Qin,Zhang Yaoyou.Paradigm Shift in Domestic Linguistic Research Driven by Intelligent Technology: A Bibliometric Analysis Based on CiteSpace[J].Theory and Practice of Science and Technology,2026,07(02):110-115. DOI： 10.47297/taposatWSP2633-456922.20260702.

摘要

Abstract

In the digital era

intelligent technologies are propelling paradigm shifts in linguistic research. This study selected relevant literature from the CNKI database spanning 1979–2025

manually screened 488 valid papers

and employed CiteSpace for bibliometric and visualization analysis to examine the current state

hotspots

and trends in this field. Findings reveal three developmental phases: preliminary exploration (1979–2002)

gradual development (2003–2022)

and rapid growth (2023–2025). A core author group has emerged

including Liu Haitao and Li Yuming

though intergroup collaboration remains weak. Research is predominantly driven by diverse types of institutions such as Beijing University of Chinese Medicine

and cross-institutional participation is prominent. Research hotspots revolve around artificial intelligence and natural language processing

with current focus on cutting-edge directions such as linguistic intelligence and interdisciplinary studies. Concurrently

the field faces challenges including insufficient cross-group coordination

inefficient resource integration

inadequate theoretical exploration

and low-level repetition. Future efforts should strengthen multi-party collaboration

deepen interdisciplinary integration

enrich theoretical frameworks through frontier research

and advance the high-quality development of linguistic research paradigms.

关键词

Keywords

references

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