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Machine translation as an academic writing aid for medical practitioners

Parra Escartín, Carla orcid logoORCID: 0000-0002-8412-1525, O'Brien, Sharon orcid logoORCID: 0000-0003-4864-5986, Goulet, Marie-Josée and Simard, Michel (2017) Machine translation as an academic writing aid for medical practitioners. In: MT Summit XV, 18-22 Sept 2017, Nagoya, Japan.

Abstract
In this paper we explore the utility of Machine Translation as a writing aid and its impact on the quality of the text produced. We focus on medical practitioners who are native speakers of Spanish and who need to publish their scientific work in English as a foreign language. After carrying out a general survey to determine whether Spanish-speaking medical practitioners already use MT as a writing aid, we engaged five participants in an experiment where we asked them to write a paper in Spanish that was subsequently machine translated. They were then asked to post-edit the MT output. We analyse their post-edits and further attempt to evaluate the overall quality of their texts by engaging a professional proofreader. Our results suggest that the texts produced with the help of MT+post-editing still require many edits in order to be considered of acceptable quality. In the conclusion, we identify several avenues worthy of future investigation and that could help achieve better quality.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Applied Language and Intercultural Studies
Research Initiatives and Centres > ADAPT
Published in: Kurohashi, Sadao and Fung, Pascale, (eds.) Proceedings of MT Summit XVI: Research Track. 1. Asia-Pacific Association for Machine Translation.
Publisher:Asia-Pacific Association for Machine Translation
Official URL:http://aamt.info/app-def/S-102/mtsummit/2017/wp-co...
Copyright Information:© 2017 The Authors. CC-BY-ND.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 713567, Science Foundation Ireland in the ADAPT Centre (Grant 13/RC/2106) (www.adaptcentre.ie) at Dublin City Universit
ID Code:23350
Deposited On:23 May 2019 15:15 by Thomas Murtagh . Last Modified 23 Sep 2019 15:24
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