Trends and Insights in Translation Studies：A Scientometric analysis from 2020-2024
DOI:
https://doi.org/10.52152/800132Ključne besede:
Translation Studies, Neural Machine Translation, Audiovisual Translation, Bibliometric Analysis, Scientometric StudyPovzetek
Translation Studies (TS) have significantly evolved in recent years, propelled by factors such as globalization, technological advancements, interdisciplinary collaborations, and the rising demand for multilingual communication. This paper conducts a scientometric analysis of publication trends, collaboration networks, and thematic evolution in Translation Studies, along with a citation analysis of translation research conducted from 2020 to 2024. The study is derived from eleven Translation Studies’ journals indexed in the Social Science Citation Index and utilized VOSviewer, CiteSpace and BERTopic tools to conduct scientometric analysis. 1468 articles shows a consistent rise in the number of publications, with an approximately 10.84% increase in both crucial aspects of Translation Studies with a focus on NMT, AI, cognitive, AVT, accessibility, and translator training. From the collaboration networks, it is clearly seen that China, Spain and United State are famous for translating research; and the university like Ghent University, University of Vienna and Guangdong University of foreign studies actively involved in the translating knowledge creation system. Most of the citations are concentrated around Toury (1995), Venuti (1995), Pym (2010) and Gile (2009) as the contemporary works shift towards discussing the translation by AI and ethical aspects. It is predicted that Translation Studies are to expand as an inter-disciplinary field that involves the application of computer science, linguistics and cognition, and human sciences’ approaches. Different from the traditional approach of literature review, this research offers a scientometric approach to reveal the current trends and development by macro and quantitative means. In addition, future research directions for the field are proposeded, including regional Translation Studies, AI ethics, and immersive translation technologies.
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