Executive Guide
Research Summary: From benchmarking to human–AI collaboration: a systematic review of ChatGPT in translation studies (2022–2025)
- Original authors
- Attribution requires verification
- Original source
- Frontiers in Education
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 29 August 2026
- Last updated
- 21 September 2026
- Reading time
- 1 min
- Publication type
- Executive Guide
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
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
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- Verification ID
- ASA-EXG-2026-00796
- Version
- v1.0 · r0
- Issued
- 29 August 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- From benchmarking to human–AI collaboration: a systematic review of ChatGPT in translation studies (2022–2025)
- Original authors
- Attribution requires verification
- Original source
- Frontiers in Education
- Provenance status
- Attribution requires verification
- Rights
- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
This verification confirms the AZIZ OS resource record and its documented provenance. It does not establish authorship of the underlying external work.