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Comprehension and trust in crises: investigating the impact of machine translation and post-editing

Rossetti, Alessandra orcid logoORCID: 0000-0002-2162-9639, O'Brien, Sharon orcid logoORCID: 0000-0003-4864-5986 and Cadwell, Patrick orcid logoORCID: 0000-0002-2371-4378 (2020) Comprehension and trust in crises: investigating the impact of machine translation and post-editing. In: 22nd Annual Conference of the European Association for Machine Translation (EAMT 2020), 6 Nov 2020, Lisbon, Portugal. ISBN 978-989-33-0589-8

Abstract
We conducted a survey to understand the impact of machine translation and postediting awareness on comprehension of and trust in messages disseminated to prepare the public for a weather-related crisis, i.e. flooding. The translation direction was English–Italian. Sixty-one participants—all native Italian speakers with different English proficiency levels— answered our survey. Each participant read and evaluated between three and six crisis messages using ratings and openended questions on comprehensibility and trust. The messages were in English and Italian. All the Italian messages had been machine translated and post-edited. Nevertheless, participants were told that only half had been post-edited, so that we could test the impact of post-editing awareness. We could not draw firm conclusions when comparing the scores for trust and comprehensibility assigned to the three types of messages—English, post-edits, and purported raw outputs. However, when scores were triangulated with open-ended answers, stronger patterns were observed, such as the impact of fluency of the translations on their comprehensibility and trustworthiness. We found correlations between comprehensibility and trustworthiness, and identified other factors influencing these aspects, such as the clarity and soundness of the messages. We conclude by outlining implications for crisis preparedness, limitations, and areas for future research.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Machine translating
Humanities > Language
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
Published in: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation. . European Association for Machine Translation. ISBN 978-989-33-0589-8
Publisher:European Association for Machine Translation
Copyright Information:© 2020 The Authors. (CC-BY-ND-4.0)
Funders:Science Foundation Ireland through the SFI Research Centres Programme, and co-funded under the European Regional Development Fund through Grant n. 13/RC/2106
ID Code:24402
Deposited On:30 Apr 2020 11:41 by Alessandra Rossetti . Last Modified 10 Mar 2021 12:10
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