Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

“A tiny cog in a large machine”: Digital Taylorism in the Translation Industry

Moorkens, Joss orcid logoORCID: 0000-0003-0766-0071 (2020) “A tiny cog in a large machine”: Digital Taylorism in the Translation Industry. Translation Spaces, 9 (1). pp. 12-34. ISSN 2211-3711

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.
Item Type:Article (Published)
Uncontrolled Keywords:business ethics; digital Taylorism; fair MT; labour sociology; scientific management; sustainable work systems and translation industry
Subjects:Computer Science > Artificial intelligence
Computer Science > Machine translating
Humanities > Translating and interpreting
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Applied Language and Intercultural Studies
Research Institutes and Centres > ADAPT
Publisher:John Benjamins
Official URL:http://dx.doi.org/10.1075/ts.00019.moo
Copyright Information:© John Benjamins Publishing Company
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:This work was supported by the ADAPT Centre for Digital Content Technology at Dublin City University, funded under the Science Foundation Ireland Research Centres Programme (Grant 13/RC/2106) and is cofunded under the European Regional Development Fund.
ID Code:24968
Deposited On:02 Sep 2020 16:31 by Joss Moorkens . Last Modified 02 Sep 2020 16:31

Full text available as:

[thumbnail of Moorkens 2020 Translation Spaces-prepub.pdf]
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
[thumbnail of Plain Text Bibliography] Other (Plain Text Bibliography)


Downloads per month over past year

Archive Staff Only: edit this record