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arXiv 2406.03450cs.CLcs.AI
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ChatGPT 翻译诗歌的最佳方式是什么?

What is the Best Way for ChatGPT to Translate Poetry?

University of Macau(澳门大学)

Shanshan Wang, Derek F. Wong, Jingming Yao, Lidia S. Chao

AI总结:

本文研究 ChatGPT 在英汉诗歌翻译中的最佳使用方式,提出解释辅助诗歌机器翻译(EAPMT)方法,利用单语诗歌解释指导翻译,并通过专业诗人评估和 GPT-4 验证其优于传统 ChatGPT 翻译及现有在线系统。

摘要:

机器翻译(MT)在应用于文学作品时历来面临重大挑战,尤其是在诗歌翻译领域。ChatGPT 等大型语言模型的出现为该领域的创新带来了潜力。本研究考察了 ChatGPT 在英汉诗歌翻译任务中的能力,利用有针对性的提示和小样本场景来确定最佳性能。尽管结果令人鼓舞,但我们的分析揭示了 ChatGPT 生成的翻译中持续存在的问题,值得关注。为了解决这些不足,我们提出了一种解释辅助诗歌机器翻译(EAPMT)方法,该方法利用单语诗歌解释作为翻译过程的指导信息。此外,我们改进了现有的评估标准,以更好地适应现代诗歌翻译的细微差别。我们邀请了一个专业诗人小组进行评估,并使用 GPT-4 进行补充评估。人工和机器评估的结果均表明,我们的 EAPMT 方法优于 ChatGPT 的传统翻译方法和现有的在线系统。本文验证了我们方法的有效性,并为机器辅助文学翻译提供了一个新颖的视角。

英文摘要:

Machine translation (MT) has historically faced significant challenges when applied to literary works, particularly in the domain of poetry translation. The advent of Large Language Models such as ChatGPT holds potential for innovation in this field. This study examines ChatGPT's capabilities in English-Chinese poetry translation tasks, utilizing targeted prompts and small sample scenarios to ascertain optimal performance. Despite promising outcomes, our analysis reveals persistent issues in the translations generated by ChatGPT that warrant attention. To address these shortcomings, we propose an Explanation-Assisted Poetry Machine Translation (EAPMT) method, which leverages monolingual poetry explanation as a guiding information for the translation process. Furthermore, we refine existing evaluation criteria to better suit the nuances of modern poetry translation. We engaged a panel of professional poets for assessments, complemented evaluations by using GPT-4. The results from both human and machine evaluations demonstrate that our EAPMT method outperforms traditional translation methods of ChatGPT and the existing online systems. This paper validates the efficacy of our method and contributes a novel perspective to machine-assisted literary translation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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