Gen AI工具赋能口译教学探析——以造车术语口译为例

doi:10.12339/j.issn.1673-8578.2025.06.019

中国科技术语 ›› 2025, Vol. 27 ›› Issue (6): 88-97.doi: 10.12339/j.issn.1673-8578.2025.06.019

Gen AI工具赋能口译教学探析——以造车术语口译为例

赵伊琳()

长春理工大学外国语学院，吉林长春 130022

收稿日期:2025-04-15 出版日期:2025-11-05 发布日期:2025-11-04
作者简介:
赵伊琳（1995—），女，长春理工大学外国语学院助教，对外经济贸易大学博士在读，研究方向为汉英对比与翻译、翻译技术、口译教学等。通信方式：zyltracy@126.com。
基金资助:
吉林省教育科学规划课题“AI赋能的英汉翻译同伴互评模式对学生评价素养提升效果研究”(GH24636)

Exploring the Empowerment of Interpreting Education by Gen AI Tools：A Case Study of Automotive Manufacturing Terminology Interpretation

ZHAO Yilin()

Received:2025-04-15 Online:2025-11-05 Published:2025-11-04

摘要/Abstract

摘要：

汽车制造术语更新快、来源复杂、技术壁垒高，造车术语口译一直是汽车口译中的瓶颈问题。对造车术语口译问题研究不足，译员培养方式滞后，制约了中国造车走出去的步伐。文章基于造车口译实践，总结当前汽车制造术语翻译混乱的原因，探索人工智能时代Gen AI工具赋能汽车制造口译实践的可能性，为Gen AI工具融入机辅口译教学、提升学生术语口译质量提供参考。

关键词: 汽车术语, 术语口译, 生成式人工智能, 机辅口译教学

Abstract:

The terminology in automotive manufacturing evolves rapidly，originates from diverse sources，and presents significant technical barriers，making the interpretation of automotive manufacturing terms a persistent challenge in automotive interpreting.The lack of research on this issue，coupled with outdated interpreter training methods，further constrains China’s efforts to expand its automotive industry internationally.Based on current interpreting practices in automotive manufacturing terminology，this paper examines the causes of terminological inconsistencies，and explores the potential of Gen AI tools in enhancing interpretation practices in the era of artificial intelligence.

Key words: auto terms, term interpretation, Gen AI, CAI（computer-assisted interpretation）teaching

赵伊琳. Gen AI工具赋能口译教学探析——以造车术语口译为例[J]. 中国科技术语, 2025, 27(6): 88-97.

ZHAO Yilin. Exploring the Empowerment of Interpreting Education by Gen AI Tools：A Case Study of Automotive Manufacturing Terminology Interpretation[J]. China Terminology, 2025, 27(6): 88-97.

图/表 8

图1 汽车供销产业链和供应链口译主要阶段

图2 Gen AI辅助译前短期知识准备示例

图3 Gen AI辅助译前词汇表准备示例

图4 口译原文和Cymo Note转写稿、识别结果

图5 Cymo Note单独划词示例

图6 Cymo Note连续划词示例

图7 Gen AI评价口译录音质量（以DeepSeek⑨为例）

图8 Gen AI在术语口译教学流程中的优势、风险和措施

参考文献 23

[1]	张佑明. 汽车英语词句特征及翻译技巧探究[J]. 中国科技翻译, 2018(4):6-8,48.
[2]	喻旭东. 翻译与消费决策关系研究:以汽车系列名称中译为例[J]. 上海翻译, 2016(4):49-53.
[3]	孙秋花. 汽车品牌汉译名动物隐喻研究[J]. 中国科技翻译, 2019(3):41-43,15.
[4]	秦艳霞, 刘德连. 术语“智能网联汽车”的英译名探析[J]. 中国科技翻译, 2024(4):58-61,46.
[5]	LI X. A Comparative Analysis of Hybrid Car Advertisements in the USA and China:Desire,Globalization,and Environment[J]. Environmental Communication:A Journal of Nature and Culture, 2013, 7(4):512-528.
[6]	王剑娜. 汽车工程英语词句特征及汉译策略[J]. 中国科技翻译, 2021(1):5-8.
[7]	方梦之. 译学术语中的同名异义[J]. 外语与翻译, 2022(2):1-4,98.
[8]	JIAO W, WANG W, HUANG J-T, et al. Is ChatGPT A Good Translator?Yes With GPT-4 As The Engine[EB/OL].(2023-11-02)[2025-06-25]. https://arxiv.org/abs/2301.08745.
[9]	KWOK H L, SHI Y, XU H, et al. Gen AI as a translation assistant?A corpus-based study on lexical and syntactic complexity of GPT-post-edited learner translation[J]. System, 2025(130).
[10]	王少爽, 骆潇洋. Gen AI时代的智能翻译素养:现实基础、学术理据与概念框架[J]. 外语教学, 2025(1):59-65.
[11]	任文. 机器翻译伦理的挑战与导向[J]. 上海翻译, 2019(5):46-52,95.
[12]	孙海琴, 李可欣, 陆嘉威. 人工智能赋能语音识别与翻译技术对同声传译的影响:实验与启示[J]. 外语电化教学, 2021(6):75-80,86,12.
[13]	卢信朝. 译员与机器汉英同声传译质量和过程对比研究[J]. 外语教学与研究, 2022(4):600-610,641.
[14]	FANTINUOLI C. Chapter 3.Towards AI-enhanced computer-assisted interpreting[M]// CorpasPASTOR G, DEFRANCQB. Interpreting Technologies - Current and Future Trends. Amsterdam: John Benjamins Publishing Company,2023:46-71.
[15]	LAGARDE L, GILE D. Le traducteur professionnel face aux textes techniques et à la recherche documentaire[J]. Meta, 2011(1):188-199.
[16]	GILE D. Basic Concepts and Models for Interpreter and Translator Training[M]. Amsterdam: John Benjamins Publishing Company,2009:131.
[17]	张轶骏, 周晶. VR与AI赋能的沉浸式情境口译教学模式研究[J]. 外语电化教学, 2021(1):78-84,13.
[18]	XU M, YOU X. Translation practice of Master of Translation and Interpreting(MTI)teachers in China:an interview-based study[J]. The Interpreter and Translator Trainer, 2021, 15(3):343-359.
[19]	LI Z, WANG H. Impact and implications of generative artificial intelligence on interpreting preparation[M]. MORATTOR, ZHANC. The Routledge Handbook of Chinese Interpreting. London:Routledge,2024:453-461.
[20]	顾文昊, 冷冰冰. ChatGPT在科技翻译应用中的四种术语误译类型:以机械工程术语为例[J]. 中国科技翻译, 2024(1):24-27.
[21]	王巍巍, 王轲, 张昱琪. 基于CSE口译量表的口译自动评分路径探索[J]. 外语界, 2022(2):80-87.
[22]	王华树, 张成智. Gen AI时代的翻译实践模式:技术迭代、业态变革与趋势展望[J]. 外语教学, 2025(1):53-58.
[23]	RAPP A, DI LODOVICO C, DI CARO L. How do people react to ChatGPT’s unpredictable behavior?Anthropomorphism,uncanniness,and fear of AI:A qualitative study on individuals’ perceptions and understandings of LLMs’ nonsensical hallucinations[J]. International Journal of Human-Computer Studies, 2025(198).

Gen AI工具赋能口译教学探析——以造车术语口译为例

Exploring the Empowerment of Interpreting Education by Gen AI Tools：A Case Study of Automotive Manufacturing Terminology Interpretation

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