From benchmarking to human–AI collaboration: a systematic review of ChatGPT in translation studies (2022–2025)

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.

Key insights

• The rapid development of large language models, specifically ChatGPT, has generated significant academic interest in translation studies.
• A systematic review identified 140 relevant publications between 2022 and 2025 from an initial pool of 1,316, indicating a high volume of recent research.
• The research encompassed analysis of publication trends, common language pairs, and diverse domains of application for ChatGPT in translation.
• The review also examined changes in research methodologies as the field evolves.

Source

Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1847081