Machine translation of Chinese classical poetry: a comparison among ChatGPT, Google Translate, and DeepL Translator

Ruiyao Gao, Yumeng Lin, Nan Zhao, Zhenguang G. Cai*

*Corresponding author for this work

    Research output: Contribution to journalJournal articlepeer-review

    Abstract

    Recent studies have highlighted ChatGPT’s remarkable capabilities in machine translation. However, little attention has been paid to its application in literary translation, particularly within the realm of Chinese classical poetry. To explore the potential of ChatGPT’s abilities in poetry translation, we conducted a comparative analysis of poetry translation quality, contrasting ChatGPT (with two different prompts) with Google Translate and DeepL Translator regarding fidelity, fluency, language style, and machine translation style. The results revealed that ChatGPT outperformed Google Translate and DeepL Translator in all evaluation criteria, suggesting its exceptional ability in poetry translation. Furthermore, when employing a prompt that instructs ChatGPT to preserve the rhythm and rhyme of poems, ChatGPT demonstrated a remarkable ability to retain the beauty of the original poetic language, setting itself apart from conventional machine translation systems. Our analysis further elucidated ChatGPT’s proficiency in comprehending and translating some common symbols, imagery, and underlined semantic components which contributes to coherent and fluent translations. Our research opens up ChatGPT’s new possibilities in translating ancient literary texts into foreign languages.
    Original languageEnglish
    Article number835
    Number of pages10
    JournalHumanities and Social Sciences Communications
    Volume11
    Issue number1
    DOIs
    Publication statusPublished - 26 Jun 2024

    Scopus Subject Areas

    • Arts and Humanities(all)
    • Social Sciences(all)
    • Psychology(all)
    • Economics, Econometrics and Finance(all)
    • Business, Management and Accounting(all)

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