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    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/153729


    题名: The application of ChatGPT in literary translation: A case study from Thai to Chinese
    作者: 莊俊儒
    Ching, Gregory S.;Zuo, Yu;Khotsing, Rapat
    贡献者: 教育學院
    关键词: Natural Language Processing;ChatGPT translation;Literary Translation;Cultural Context
    日期: 2024-05
    上传时间: 2024-09-10 13:57:11 (UTC+8)
    摘要: Natural Language Processing (NLP) is rapidly evolving, yet it still faces challenges in comprehending deep meanings and emotions, handling diverse languages and subtle linguistic nuances. Literary text translation remains particularly tough for machine translation, with limited research focusing on Thai-Chinese translation. This study investigates the Thai biographical essay ‘ ,’ (Mother Nao Hua) comparing quantitative and qualitative aspects of translations by Google Translate, Baidu Translate, and ChatGPT. The goal is to explore the difficulties faced in Thai-Chinese machine translation and how to issue clearer commands for literary translations. Quantitative analysis shows ChatGPT’s translation as the best, followed by Google and Baidu Translate. Modified instructions improved ChatGPT’s translation quality. Qualitative analysis reveals reasons for translation quality variance and machine translation’s literary text issues. It finds challenges in Thai to Chinese translation, suggesting ChatGPT instruction refinement can improve quality. The study proposes three future research directions.
    關聯: Learning Technology for Education Challenges. LTEC 2024. Communications in Computer and Information Science (CCIS,vol. 2082), 台灣社會網絡學會, pp.332-348
    数据类型: conferernce
    DOI 連結: https://doi.org/10.1007/978-3-031-61678-5_24
    DOI: 10.1007/978-3-031-61678-5_24
    显示于类别:[教育學院] 會議論文

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