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        <title>‘Can make mistakes’. Prompting ChatGPT to Enhance Literary MT output</title>
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    <abstract>Operating at the intersection of generative AI (artificial intelligence), machine transla-tion (MT), and literary translation, this paper examines to what extent prompt-driven post-editing (PE) can enhance the quality of ma-chine-translated literary texts. We assess how different types of instruction influence PE performance, particularly focusing on lit-erary nuances and author-specific styles. Situated within posthumanist translation theory, which often challenges traditional notions of human intervention in translation processes, the study explores the practical implementation of generative AI in multilin-gual workflows. While the findings suggest that prompted PE can improve translation output to some extent, its effectiveness var-ies, especially in literary contexts. This highlights the need for a critical review of prompt engineering approaches and empha-sizes the importance of further research to navigate the complexities of integrating AI into creative translation workflows effective-ly.</abstract>
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%0 Conference Proceedings
%T ‘Can make mistakes’. Prompting ChatGPT to Enhance Literary MT output
%A Egdom, Gys-Walt
%A Declercq, Christophe
%A Kosters, Onno
%Y Vanroy, Bram
%Y Lefer, Marie-Aude
%Y Macken, Lieve
%Y Ruffo, Paola
%S Proceedings of the 1st Workshop on Creative-text Translation and Technology
%D 2024
%8 June
%I European Association for Machine Translation
%C Sheffield, United Kingdom
%F egdom-etal-2024-make
%X Operating at the intersection of generative AI (artificial intelligence), machine transla-tion (MT), and literary translation, this paper examines to what extent prompt-driven post-editing (PE) can enhance the quality of ma-chine-translated literary texts. We assess how different types of instruction influence PE performance, particularly focusing on lit-erary nuances and author-specific styles. Situated within posthumanist translation theory, which often challenges traditional notions of human intervention in translation processes, the study explores the practical implementation of generative AI in multilin-gual workflows. While the findings suggest that prompted PE can improve translation output to some extent, its effectiveness var-ies, especially in literary contexts. This highlights the need for a critical review of prompt engineering approaches and empha-sizes the importance of further research to navigate the complexities of integrating AI into creative translation workflows effective-ly.
%U https://aclanthology.org/2024.ctt-1.2
%P 10-20

Markdown (Informal)

[‘Can make mistakes’. Prompting ChatGPT to Enhance Literary MT output](https://aclanthology.org/2024.ctt-1.2) (Egdom et al., CTT-WS 2024)

• ‘Can make mistakes’. Prompting ChatGPT to Enhance Literary MT output (Egdom et al., CTT-WS 2024)

ACL

• Gys-Walt Egdom, Christophe Declercq, and Onno Kosters. 2024. ‘Can make mistakes’. Prompting ChatGPT to Enhance Literary MT output. In Proceedings of the 1st Workshop on Creative-text Translation and Technology, pages 10–20, Sheffield, United Kingdom. European Association for Machine Translation.