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Ethical considerations on the use of machine translation and crowdsourcing in cascading crises

Parra Escartín, Carla orcid logoORCID: 0000-0002-8412-1525 and Moniz, Helena (2019) Ethical considerations on the use of machine translation and crowdsourcing in cascading crises. In: Federici, Federico M. orcid logoORCID: 0000-0002-0057-0340 and O'Brien, Sharon orcid logoORCID: 0000-0003-4864-5986, (eds.) Translation in Cascading Crises. Routledge (Taylor & Francis), London. ISBN 9781138363502

Abstract
When a sudden-onset emergency occurs, the language needs of those affected and those involved in the relief efforts cannot be foreseen. Provided that access to online communication is still available, it is not unlikely that many involved in the crisis will resort to language technologies such as machine translation and initiatives such as crowdsourcing to assist in the urgent need for multilingual communication. This may be done in an attempt to understand the key messages from official bodies, or relief organisations, when there is a lack of professional translators to assist in the multilingual communication process. This approach - machine translation and crowdsourcing - was successfully used in a previous crisis, i.e. the 2010 earthquake in Haiti. However, the use of technologies cannot be taken for granted. Even if they are supposedly used for good, a number of ethical issues should be given consideration before using these technologies, when using them, and in the aftermath of a crisis. In this chapter, we describe those issues by having a closer look at potential crisis translation workflows which rely on machine translation and crowdsourcing.
Metadata
Item Type:Book Section
Refereed:Yes
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
Research Initiatives and Centres > ADAPT
Publisher:Routledge (Taylor & Francis)
Official URL:https://doi.org/10.4324/9780429341052
Copyright Information:© 2020 Routledge
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), European Union’s Horizon 2020 Research and Innovation program and the Marie Skłodowska-Curie Actions (Grant No. 734211), FCT post-doctoral grant SFRH/BPD/95849/2013
ID Code:24318
Deposited On:03 Apr 2020 10:53 by Alessandra Rossetti . Last Modified 15 Nov 2023 13:01
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