Prompting ChatGPT for Translation: A Comparative Analysis of Translation Brief and Persona Prompts

Fuente: arXiv
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Main Author: He, Sui
Format: Preprint
Published: 2024
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author He, Sui
author_facet He, Sui
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2403_00127
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Prompting ChatGPT for Translation: A Comparative Analysis of Translation Brief and Persona Prompts
He, Sui
Computation and Language
Computers and Society
Human-Computer Interaction
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.
title Prompting ChatGPT for Translation: A Comparative Analysis of Translation Brief and Persona Prompts
topic Computation and Language
Computers and Society
Human-Computer Interaction
url https://arxiv.org/abs/2403.00127