A 2-step Framework for Automated Literary Translation Evaluation: Its Promises and Pitfalls

• URL: http://arxiv.org/abs/2412.01340v2
• Date: Thu, 02 Jan 2025 03:29:31 GMT
• Title: A 2-step Framework for Automated Literary Translation Evaluation: Its Promises and Pitfalls
• Authors: Sheikh Shafayat, Dongkeun Yoon, Woori Jang, Jiwoo Choi, Alice Oh, Seohyon Jung,
• Abstract summary: We propose and evaluate the feasibility of a two-stage pipeline to evaluate literary machine translation.<n>Our framework provides fine-grained, interpretable metrics suited for literary translation.
• Score: 15.50296318831118
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: In this work, we propose and evaluate the feasibility of a two-stage pipeline to evaluate literary machine translation, in a fine-grained manner, from English to Korean. The results show that our framework provides fine-grained, interpretable metrics suited for literary translation and obtains a higher correlation with human judgment than traditional machine translation metrics. Nonetheless, it still fails to match inter-human agreement, especially in metrics like Korean Honorifics. We also observe that LLMs tend to favor translations generated by other LLMs, and we highlight the necessity of developing more sophisticated evaluation methods to ensure accurate and culturally sensitive machine translation of literary works.

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