“A tiny cog in a large machine”
“A tiny cog in a large machine”
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DOI：
10.1075/ts.00019.moo
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发表时间：
2020-08
期刊：
影响因子：
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通讯作者：
Joss Moorkens
中科院分区：
文献类型：
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作者：
Joss Moorkens
翻译工作者多年来一直在计算机的帮助下工作，通常是翻译整篇文章，分成几个部分，但按顺序进行。为了最大限度地提高效率，并受到科技行业类似举措和工业4.0预测的启发，大型翻译公司已开始将任务分解为更小的块，并严格定义和监控翻译流程。这对于以平台为媒介的工作、高度协作的工作流以及需要接近实时周转时间的多媒体工作尤其如此。本文在工作满意度测量和可持续工作系统讨论的背景下考虑了这种工作流程，建议公司优先考虑长期回报，并尝试在翻译过程中平衡所有利益相关者的需求。翻译人员和翻译培训人员在实现这一平衡方面也可以发挥作用。
Abstract Translators have worked with the assistance of computers for many years, usually translating whole texts, divided into segments but in sequential order. In order to maximise efficiency and inspired by similar moves in the tech industry and predictions for Industry 4.0, large translation companies have begun to break tasks down into smaller chunks and to rigidly define and monitor translation processes. This is particularly true of platform-mediated work, highly collaborative workflows, and multimedia work that requires near-live turnaround times. This article considers such workflows in the context of measures of job satisfaction and discussion of sustainable work systems, proposing that companies prioritise long-term returns and attempt to balance the needs of all stakeholders in a translation process. Translators and translator trainers also have a role to play in achieving this balance.