翻译硕士课程加速融入AI工具，强化职业化训练与数据安全意识。
Training in translation tools and technologies: Findings of the EMT survey 2023
- 课程增加机器翻译、译后编辑与质量评估必修内容。
- 超半数院校引入生成式AI工具教学，响应技术变革。
- 适合关注翻译教育转型与技术伦理的从业者与研究者。
本文报告了第三次针对研究生翻译培训项目中计算机化工具与技术教学情况的调查结果。尽管调查由EMT网络主导，但超过一半的反馈来自该网络以外的机构。数据显示，各项目积极跟进翻译技术革新，机器翻译、译后编辑和质量评估的必修比例显著上升，对生成式工具的发布反应迅速。新冠疫情带来的灵活性要求也促使部分教学模式永久改变。尽管教授工具范围持续扩大，课程正逐步聚焦于提供免费学术访问的云端软件。同时，翻译技术相关的职业场景与工作流程被更深入地融入教学。文件管理、数据安全等通用技能的重要性提升，翻译数据相关的法律与伦理问题也日益突出。在教学方式上，自EMT2017以来对传统实验室的偏离趋势进一步加剧，个人设备使用大幅普及，这无疑受到疫情推动。
原文摘要 · Abstract (English)
This article reports on the third iteration of a survey of computerized tools and technologies taught as part of postgraduate translation training programmes. While the survey was carried out under the aegis of the EMT Network, more than half of responses are from outside that network. The results show the responsiveness of programmes to innovations in translation technology, with increased compulsory inclusion of machine translation, post-editing, and quality evaluation, and a rapid response to the release of generative tools. The flexibility required during the Covid-19 pandemic has also led to some lasting changes to programmes. While the range of tools being taught has continued to expand, programmes seem to be consolidating their core offering around cloud-based software with cost-free academic access. There has also been an increase in the embedding of professional contexts and workflows associated with translation technology. Generic file management and data security skills have increased in perceived importance, and legal and ethical issues related to translation data have also become more prominent. In terms of course delivery the shift away from conventional labs identified in EMT2017 has accelerated markedly, no doubt partly driven by the pandemic, accompanied by a dramatic expansion in the use of students' personal devices.
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