  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.
