中国科技术语 ›› 2025, Vol. 27 ›› Issue (3): 12-20.doi: 10.12339/j.issn.1673-8578.2025.03.002

• 理论研究 • 上一篇    下一篇

大语言模型背景下的术语翻译研究:现状、问题与展望

朱玉彬(), 王梓()   

  1. 安徽大学外语学院,安徽合肥 230601
  • 收稿日期:2024-11-26 修回日期:2025-03-24 出版日期:2025-05-05 发布日期:2025-05-06
  • 作者简介:

    朱玉彬(1977—),男,安徽大学大学外语教学中心教授、博士生导师,全国科学技术名词审定委员会与安徽大学合建多语种术语学理论与应用研究基地主任,主要研究方向为翻译学、数字人文和语料库语言学。通信方式:

    王梓(2000—),男,安徽大学外语学院外国语言学及应用语言学专业硕士研究生,主要研究方向为语料库语言学和翻译技术。通信方式:

  • 基金资助:
    国家社会科学基金项目“大数据时代的翻译技术学理研究”(19BYY096)

Term Translation in the Context of Large Language Models:Current Status,Problems and Prospects

ZHU Yubin(), WANG Zi()   

  • Received:2024-11-26 Revised:2025-03-24 Online:2025-05-05 Published:2025-05-06

摘要:

文章在梳理术语翻译研究现状和问题的基础上,探讨了大语言模型为术语翻译实践和理论研究带来的影响。研究发现,由于术语的专业性特征,当前术语翻译研究多集中在学科术语翻译的实践研究,缺乏对术语体系构建及术语翻译理论层面的宏观系统考察。大语言模型优化了多语种术语翻译、管理和检索,推动了术语体系及术语翻译理论的深入发展,为术语翻译研究提供了新的理论视角。未来术语翻译研究应充分借助大语言模型,将术语翻译与其他学科理论研究充分结合,围绕术语翻译这一研究对象的本质属性和重要特征,推动术语翻译研究的本体转向。

关键词: 术语, 概念, 术语体系, 术语翻译, 大语言模型

Abstract:

Based on a review of the current status and problems of term translation research,we examine the impact of Large Language Models (LLMs) on both the practical and theoretical exploration of term translation.We found that,due to the speciality of terminology,current term translation research primarily focuses on practical studies of discipline-specific term translation and lacks comprehensive and systematic investigations into the construction of term system and theory of term translation.We think LLMs optimizes multilingual term translation,management and retrieval,promotes the in-depth development of term system and theory of term translation,and provides new theoretical perspectives on term translation research.In the future,researchers should fully utilize LLMs and integrate term translation with theories from other disciplines,concentrating on the essential attributes and key characteristics of term translation,so as to steer the research toward the ontology of term translation.

Key words: term, concept, term system, term translation, Large Language Model (LLM)