Prompting ChatGPT for Translation: A Comparative Analysis of Translation Brief and Persona Prompts
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Abstract (arXiv)
Prompt engineering has shown potential for improving translation quality in LLMs. However, the possibility of using translation concepts in prompt design remains largely underexplored. Against this backdrop, the current paper discusses the effectiveness of incorporating the conceptual tool of translation brief and the personas of translator and author into prompt design for translation tasks in ChatGPT. Findings suggest that, although certain elements are constructive in facilitating human-to-human communication for translation tasks, their effectiveness is limited for improving translation quality in ChatGPT. This accentuates the need for explorative research on how translation theorists and practitioners can develop the current set of conceptual tools rooted in the human-to-human communication paradigm for translation purposes in this emerging workflow involving human-machine interaction, and how translation concepts developed in translation studies can inform the training of GPT models for translation tasks.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 7 of its 18 references that are in the map. First posted on arXiv 29 Feb 2024.
Builds on
7 of 18 references.
References · 7
- 2023How Good Are GPT Models at Machine Translation? A Comprehensive Evaluationcited by 344
- 2023Prompting Large Language Model for Machine Translation: A Case Studycited by 247
- 2023Is ChatGPT A Good Translator? Yes With GPT-4 As The Enginecited by 172
- 2022Prompting PaLM for Translation: Assessing Strategies and Performancecited by 144
- 2023How to Design Translation Prompts for ChatGPT: An Empirical Studycited by 31
- 2023Optimizing Machine Translation through Prompt Engineering: An Investigation into ChatGPT's Customizabilitycited by 11
- 2023Linguistically Informed ChatGPT Prompts to Enhance Japanese-Chinese Machine Translation: A Case Study on Attributive Clausescited by 8
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Citing papers per year: 2024: 1; 2025: 7; 2026: 4.
12 papers.
- 2025The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMscited by 35
- 2025Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performancecited by 17
- 2025Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Taskscited by 5
- 2025Specification-Aware Machine Translation and Evaluation for Purpose Alignmentcited by 4
- 2025Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detectioncited by 2
- 2025Testing LLMs' Capabilities in Annotating Translations Based on an Error Typology Designed for LSP Translation: First Experiments with ChatGPTcited by 2
- 2024Double Jeopardy and Climate Impact in the Use of Large Language Models: Socio-economic Disparities and Reduced Utility for Non-English Speakerscited by 1
- 2025Arabizi vs LLMs: Can the Genie Understand the Language of Aladdin?cited by 1
- 2026Creativity Bias: How Machine Evaluation Struggles with Creativity in Literary Translationscited by 1
- 2026Beyond "To whom it may concern": Tailoring Machine Translation to Audience and Intentcited by 1
- 2026Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translationcited by 0
- 2026The Role of Prompt Language and Translation-Theory-Driven Prompts in Large Language Models: A Case Study on Spanish-Chinese Journalistic Translationcited by 0
- 2026The Role of Prompt Language and Translation-Theory-Driven Prompts in Large Language Models: A Case Study on Spanish-Chinese Journalistic Translation3 Jul 2026
- 2026Beyond "To whom it may concern": Tailoring Machine Translation to Audience and Intent2 Jun 2026
- 2026Creativity Bias: How Machine Evaluation Struggles with Creativity in Literary Translations13 May 2026
- 2026Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation8 May 2026
- 2025Specification-Aware Machine Translation and Evaluation for Purpose Alignment22 Sep 2025
- 2025The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs3 Sep 2025
- 2025Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance27 Aug 2025
- 2025Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks16 May 2025
- 2025Testing LLMs' Capabilities in Annotating Translations Based on an Error Typology Designed for LSP Translation: First Experiments with ChatGPT21 Apr 2025
- 2025Arabizi vs LLMs: Can the Genie Understand the Language of Aladdin?28 Feb 2025
- 2025Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection10 Feb 2025
- 2024Double Jeopardy and Climate Impact in the Use of Large Language Models: Socio-economic Disparities and Reduced Utility for Non-English Speakers14 Oct 2024