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Human factors in machine translation and post-editing among institutional translators

Cadwell, Patrick orcid logoORCID: 0000-0002-2371-4378, Castilho, Sheila orcid logoORCID: 0000-0002-8416-6555, O'Brien, Sharon orcid logoORCID: 0000-0003-4864-5986 and Mitchell, Linda orcid logoORCID: 0000-0002-1883-9037 (2016) Human factors in machine translation and post-editing among institutional translators. Translation Spaces, 5 (2). pp. 222-243. ISSN 2211-3711

Abstract
In September 2015, the ADAPT Centre for Digital Content Technology carried out a focus group study of 70 translators at the European Commission’s Directorate-General for Translation (DGT). The aim was to better understand the factors involved in the translators’ adoption and non-adoption of machine translation (MT) during their translation tasks. Our analysis showed that, while broadly positive attitudes to MT could be observed, MT was not consistently adopted for all tasks. We argue that ergonomic factors related to a human translator’s needs, abilities, limitations, and overall well-being heavily impacted on participants’ decisions to use MT or not in their tasks. We further claim that it is only by taking into account the special institutional circumstances in which the activity of DGT translation is situated that these ergonomic factors can be fully understood and explained.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:machine translation (MT); post-editing (PE); ergonomics; human factors; Directorate-General for Translation (DGT); focus groups
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
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 Publishing
Official URL:https://doi.org/10.1075/ts.5.2.04cad
Copyright Information:© 2016 JBS
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:23074
Deposited On:11 Mar 2019 14:40 by Thomas Murtagh . Last Modified 20 Jan 2021 16:52
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