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From benchmarking to human: AI collaboration: a systematic review of ChatGPT in translation studies (2022: 2025)
Frontiers in EducationInternationalHigh confidence1 min
What changed
A systematic review of 140 research publications from 2022 to 2025 focusing on ChatGPT's application in translation studies reveals a rapidly growing academic interest in large language models. The study analyzed publication trends, language pairs, application domains, and evolving research methods, providing a comprehensive overview of how ChatGPT is being investigated and applied in this field.
Why it matters
The rapid proliferation of research into large language models in specialized domains signals a significant technological shift impacting knowledge-intensive sectors. Understanding these developments is crucial for anticipating disruptive changes and harnessing potential efficiencies or new capabilities.
What to watch
The rapid development of large language models, specifically ChatGPT, has generated significant academic interest in translation studies.
Forward consideration, not a verified fact.
Reported by Frontiers in Education, International. The document itself is not reproduced here.
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