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More than tweets: a critical reflection on developing and testing crisis machine translation technology

Cadwell, Patrick ORCID: 0000-0002-2371-4378, O'Brien, Sharon ORCID: 0000-0003-4864-5986 and De Luca, Eric (2019) More than tweets: a critical reflection on developing and testing crisis machine translation technology. Translation Spaces, 8 (2). pp. 300-333. ISSN 2211-3711

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Abstract

The application of machine translation (MT) in crisis settings is of increasing interest to humanitarian practitioners. We collaborated with industry and non-profit partners: (1) to develop and test the utility of an MT system trained specifically on crisis-related content in an under-resourced language combination (French-to-Swahili); and (2) to evaluate the extent to which speakers of both French and Swahili without post-editing experience could be mobilized to post-edit the output of this system effectively. Our small study carried out in Kenya found that our system performed well, provided useful output, and was positively evaluated by inexperienced post-editors. We use the study to discuss the feasibility of MT use in crisis settings for low-resource language combinations and make recommendations on data selection and domain consideration for future crisis-related MT development.

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:crisis translation; crisis; machine translation (MT); post-editing; evaluation; training; citizen translators; data sets
Subjects: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
Publisher:John Benjamins Publishing
Official URL:http://dx.doi.org/10.1075/ts.19018.cad
Copyright Information:© 2019 John Benjamins Publishing
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 734211.
ID Code:23910
Deposited On:05 Nov 2019 16:00 by Thomas Murtagh . Last Modified 05 Nov 2019 16:00

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