arXiv cs.CY· Andrew Rothwell, Joss Moorkens, Tomas Svoboda·· 14 小时前AI 评分18
EMT 2023 调查：翻译培训项目中的计算机工具与技术教学现状
Training in translation tools and technologies: Findings of the EMT survey 2023
AI 导读
EMT 2023 调查显示，翻译研究生培训项目对机器翻译、译后编辑和质量评估的必修覆盖增加，并对生成式工具快速响应。项目核心教学正围绕可免费学术访问的云端软件整合，传统实验室教学加速转向学生个人设备。翻译数据相关的法律与伦理问题、通用文件管理和数据安全技能的重视度上升。
正文 · 原文
Abstract: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.
| Subjects: | Computers and Society (cs.CY); Computation and Language (cs.CL) |
| Cite as: | arXiv:2503.22735 [cs.CY] |
| (or arXiv:2503.22735v2 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2503.22735 arXiv-issued DOI via DataCite |
Submission history
From: Tomáš Svoboda [view email]
[v1]
Wed, 26 Mar 2025 14:49:14 UTC (1,167 KB)
[v2]
Mon, 26 Oct 2026 10:16:54 UTC (862 KB)
来源：arXiv cs.CY · arxiv.org