国际中文开源期刊平台

基于生成式人工智能ChatGPT的科技文体翻译术语查证方法

Terminology Verification Method for Scientific and Technological Text Translation based on Generative Artificial Intelligence ChatGPT

社会科学进展 / 2024,6(3)：761-768 / 2024-07-18 85 52

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• 作者： 关蒙      邓海龙     
• 单位：

  赣南师范大学，赣州

• 关键词： 生成式人工智能；科技文体翻译；术语查证
• Generative artificial intelligence; Scientific and technological text translation; Terminology verification
• 摘要： 特定领域文本翻译的术语查证费时费力，专业性文本翻译的术语查证工作尤其繁琐不堪，而术语翻译正确与否，直接影响译文质量和读者的接受程度。近年来新一代人工智能技术取得了显著突破,生成式人工智能ChatGPT在语言理解和内容生成方面比以往的人工智能功能更为强大,为术语翻译查证提供了新的可能性。尽管ChatGPT及其核心技术在术语查证实践中尚未得到广泛应用,但其潜在的可能性值得研究人员深入探究。本文作者选取了科技类文本中的专业术语，通过对比以术语在线查询为代表的大型术语库、以谷歌搜索为代表的搜索引擎检索方式以及ChatGPT提问，发现生成式人工智能ChatGPT在术语查证方面比传统方法更加准确高效，有利于提高译者的翻译实践能力。研究启示，当代译员应该充分利用前沿人工智能技术，积极尝试新鲜事物，以更准确高效地为客户提供优质的语言服务。
• The verification of terminology in specific field text translation is time-consuming and laborious, and the verification of terminology in professional text translation is particularly cumbersome. Whether the terminology translation is correct or not directly affects the quality of the translation and the reader’s acceptance. In recent years, significant breakthroughs have been made in new-generation artificial intelligence, and Generative Artificial Intelligence ChatGPT is more powerful than previous AI functions in language understanding and content generation, providing new possibilities for terminology translation verification. Although ChatGPT and its core technology have not been widely used in terminology verification practices, their potential possibilities deserve further exploration by researchers. The author of this paper selected professional terminology in scientific and technological texts, and through comparing large-scale terminology databases represented by TermOnline, search engine retrieval methods represented by Google search, and ChatGPT inquiries, it was found that Generative Artificial Intelligence ChatGPT is more accurate and efficient in terminology verification than traditional methods, which is conducive to improving translators’ translation practice ability. The research suggests that contemporary translators should make full use of cutting-edge artificial intelligence, actively try new things, and provide customers with quality language services more accurately and efficiently.
• DOI： https://doi.org/10.35534/pss.0603069
• 引用： 关蒙，邓海龙．基于生成式人工智能ChatGPT的科技文体翻译术语查证方法［J］．社会科学进展，2024，6（3）：761-768.