|
Modern Linguistics 2025
人工智能浪潮下高校翻译人才培养策略研究
|
Abstract:
在信息技术日趋发达的今天,以人工智能为基础的翻译技术更加成熟。在人工智能时代下,翻译市场对翻译专业人才的翻译技术培养提出了新要求,培养翻译人才的翻译技术能力以及改变翻译人才教学模式迫在眉睫。高校作为培养翻译人才的主场所,亟需转变和创新翻译人才培养模式,融入协同开放的翻译教育互联网思维,深化技术赋能与学科融合理念,主动对接国家和地方战略,全力推进翻译专业在线数字教育。在人工智能发展的大背景下,构建对接职业化与市场化翻译人才培养的新体系,为培养符合时代要求的翻译人才尽绵薄之力。
In today’s increasingly developed information technology, the translation technology based on artificial intelligence has become more mature. In the era of artificial intelligence, market poses higher requirements for the translation technology cultivation of translation professionals, and it is urgent to cultivate the translation technology ability of translation talents as well as change the teaching mode of translation talents. As the main venue for cultivating translation talents, colleges and universities urgently need to transform and innovate the training mode for translation talents. They should integrate the collaborative and open Internet-based thinking in translation education, deepen the concepts of technology-empowered and interdisciplinary integration, proactively align with national and local strategies, and fully promote the online digital education for translation majors. Against the background of the development of artificial intelligence, it is necessary to construct a new system that caters to the cultivation of professional and market-oriented translation talents, making modest efforts to cultivate translation talents who meet the requirements of the times.
[1] | Chan, S.W. (2015) Routledge Encyclopedia of Translation Technology. Routledge. |
[2] | 朱一凡, 管新潮. 人工智能时代的翻译人才培养: 挑战与机遇[J]. 上海交通大学学报(哲学社会科学版), 2019, 27(4): 37-45. |
[3] | 王华树, 刘世界. 人工智能时代翻译技术转向研究[J]. 外语教学, 2021, 42(5): 87-92. |
[4] | 张一宁, 徐林熇. 人工智能背景下对机器翻译的思考[J]. 长春理工大学学报(社会科学版), 2019, 32(3): 90-94. |
[5] | 巨润梓. 在线人工翻译平台的质量管理——以Y平台为例[J]. 现代交际, 2019(20): 238-239. |
[6] | 古丽皮娜∙加迪. 人工智能背景下的机器翻译与人工翻译: 竞争与融合[J]. 国际公关, 2020(5): 176, 178. |
[7] | 余玉秀. AI + 翻译: 人工智能与语言行为人机耦合应用研究[J]. 传媒, 2019(8): 94-96. |
[8] | 文明凤. 我国翻译硕士学位教学现状与复合型翻译人才培养[C]//外语教育与翻译发展创新研究(10). 西南交通大学希望学院, 四川西部文献编译研究中心, 2020: 518-521. |
[9] | Gehring, J., Auli, M., Grangier, D. and Dauphin, Y. (2017). A Convolutional Encoder Model for Neural Machine Translation. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, July 2017, 123-135. https://doi.org/10.18653/v1/P17-1012 |
[10] | 王华树, 李智. 人工智能时代的翻译技术研究: 内涵、分类与趋势[J]. 外国语言与文化, 2020(1): 86-95. |
[11] | 高璐璐, 赵雯. 机器翻译研究综述[J]. 中国外语, 2020, 17(6): 97-103. |