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Optimizing Machine Translation through Prompt Engineering: An Investigation into ChatGPT's Customizability
Feb. 22, 2024, 5:48 a.m. | Masaru Yamada
cs.CL updates on arXiv.org arxiv.org
Abstract: This paper explores the influence of integrating the purpose of the translation and the target audience into prompts on the quality of translations produced by ChatGPT. Drawing on previous translation studies, industry practices, and ISO standards, the research underscores the significance of the pre-production phase in the translation process. The study reveals that the inclusion of suitable prompts in large-scale language models like ChatGPT can yield flexible translations, a feat yet to be realized by …
abstract arxiv audience chatgpt cs.cl engineering industry influence investigation iso machine machine translation paper practices production prompt prompts quality research significance standards studies through translation type
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