公共服务口译和翻译培训:实现机器翻译和后期编辑数字化的途径

IF 1.8 1区 文学 0 LANGUAGE & LINGUISTICS
María del Mar Sánchez Ramos
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引用次数: 1

摘要

摘要对即时获取信息的需求不断增长,这意味着口译员和翻译人员在工作中越来越多地使用和依赖数字技术。在迁移的背景下,机器翻译(MT)和后编辑(PE)有可能大大提高公共服务口译和翻译(PSIT)的效率,而目前正经历着巨大的需求。本文描述并评估了西班牙一所大学PSIT研究生课程中MT和PE模块的实施情况。在2020-2021学年,使用混合方法从42名学生中收集定量数据(通过问卷调查)和定性数据(通过反思性文章)。结果表明,学生对该模块的内容和实施都感到满意。然而,他们也认为,该模块需要更好地整合到整个研究生PSIT课程中,以便为他们的职业生涯做好充分准备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Public service interpreting and translation training: a path towards digital adaptation to machine translation and post-editing
ABSTRACT The ever-increasing demand for immediate access to information means interpreters and translators are increasingly using, and relying on, digital technology in their work. In the migratory context, machine translation (MT) and post-editing (PE) have the potential to greatly increase the efficiency of public service interpreting and translation (PSIT), which is currently experiencing huge demand. This article describes and evaluates the implementation of a module focused on MT and PE within a postgraduate PSIT programme at a Spanish university. A mixed-methods methodology was used to collect both quantitative data (via a questionnaire) and qualitative data (via a reflective essay) from a group of 42 students during the 2020–2021 academic year. The results show that students were satisfied overall with both the content of the module and its implementation. However, they also felt that the module needed to be better integrated within the postgraduate PSIT programme as a whole in order to fully prepare them for their professional careers.
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来源期刊
CiteScore
2.90
自引率
13.30%
发文量
19
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