dc.contributor | 教育學院 | |
dc.creator (作者) | 莊俊儒 | |
dc.creator (作者) | Ching, Gregory S.;Zuo, Yu;Khotsing, Rapat | |
dc.date (日期) | 2024-05 | |
dc.date.accessioned | 10-Sep-2024 13:57:11 (UTC+8) | - |
dc.date.available | 10-Sep-2024 13:57:11 (UTC+8) | - |
dc.date.issued (上傳時間) | 10-Sep-2024 13:57:11 (UTC+8) | - |
dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/153729 | - |
dc.description.abstract (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. | |
dc.format.extent | 108 bytes | - |
dc.format.mimetype | text/html | - |
dc.relation (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 | |
dc.subject (關鍵詞) | Natural Language Processing; ChatGPT translation; Literary Translation; Cultural Context | |
dc.title (題名) | The application of ChatGPT in literary translation: A case study from Thai to Chinese | |
dc.type (資料類型) | conferernce | |
dc.identifier.doi (DOI) | 10.1007/978-3-031-61678-5_24 | |
dc.doi.uri (DOI) | https://doi.org/10.1007/978-3-031-61678-5_24 | |