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On the complementarity between human translators and machine translation

Aragonés Lumeras, Maite and Way, Andy orcid logoORCID: 0000-0001-5736-5930 (2017) On the complementarity between human translators and machine translation. Hermes (56). pp. 21-42. ISSN 1903-1785

Abstract
Many translators are fearful of the impact of Machine Translation (MT) on their profession, broadly speaking, and on their livelihoods more specifically. We contend that their concern is misplaced, as human translators have a range of skills, many of which are currently – with no signs of any imminent breakthroughs on the horizon – impossible to replicate by automatic means. Nonetheless, in this paper, we will show that MT engines have considerable potential to improve translators’ productivity and ensure that the output translations are more consistent. Furthermore, we will investigate what machines are good at, where they break down, and why the human is likely to remain the most critical component in the translation pipeline for many years to come
Metadata
Item Type:Article (Published)
Refereed:Yes
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > ADAPT
Publisher:Aarhus Universitet
Official URL:http://dx.doi.org/10.7146/hjlcb.v0i56.97200
Copyright Information:© 2017 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:ADAPT Centre for Digital Content Technology, funded under the SFI Research Centres Programme (Grant 13/RC/2106) and co-funded under the European Regional Development Fund
ID Code:23313
Deposited On:17 May 2019 15:32 by Thomas Murtagh . Last Modified 08 Feb 2023 13:26
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