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.

翻译：提示工程已展现出提升大语言模型翻译质量的潜力。然而，将翻译概念融入提示设计的可能性仍鲜有探索。在此背景下，本文探讨了将翻译简报这一概念工具以及译者和作者的角色融入ChatGPT翻译任务提示设计的有效性。研究结果表明，尽管某些要素在促进翻译任务中人与人之间的沟通方面具有建设性作用，但它们对提升ChatGPT翻译质量的效果有限。这凸显了开展探索性研究的必要性：一方面研究翻译理论家和实践者如何基于当前根植于人际沟通范式的概念工具，为这种人机交互的新兴工作流开发翻译工具；另一方面探讨翻译研究中形成的翻译概念如何为GPT模型在翻译任务中的训练提供指导。