mlsanityData to 7 Oct 2026

What is the Best Way for ChatGPT to Translate Poetry?

arXiv 2406.03450 ↗First posted 5 Jun 2024cs.CL cs.AIcited by 14

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Abstract (arXiv)

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.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 13 of its 44 references that are in the map. First posted on arXiv 5 Jun 2024.

Builds on

13 of 44 references.

References · 13

  1. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
  2. 2015Neural Machine Translation of Rare Words with Subword Unitscited by 2,898
  3. 2018A Call for Clarity in Reporting BLEU Scorescited by 1,790
  4. 2023How Good Are GPT Models at Machine Translation? A Comprehensive Evaluationcited by 344
  5. 2017Why We Need New Evaluation Metrics for NLGcited by 232
  6. 2014Addressing the Rare Word Problem in Neural Machine Translationcited by 50
  7. 2016Incorporating Discrete Translation Lexicons into Neural Machine Translationcited by 33
  8. 2023How to Design Translation Prompts for ChatGPT: An Empirical Studycited by 31
  9. 2016Generating Chinese Classical Poems with RNN Encoder-Decodercited by 16
  10. 2021Don't Go Far Off: An Empirical Study on Neural Poetry Translationcited by 15
  11. 2024Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Modelcited by 10
  12. 2021Prose2Poem: The Blessing of Transformers in Translating Prose to Persian Poetrycited by 7
1 more
  1. 2024FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Modelscited by 3

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Citing papers per year: 2025: 4; 2026: 10.

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