MaTIAS: Machine Translation to Inform Asylum Seekers

Publication type
U
Publication status
Published
Authors
Macken, L., van Hest, E, Tezcan, A., Lumingu, M., Maryns, K, & De Wilde, J.
Editor
Xingyi Song, Edward Gow-Smith, Carolina Scarton, Vera Cabarrão, Konstantinos Chatzitheodorou, Patrick Cadwell, Ekaterina Lapshinova-Koltunski, Rachel Bawden, Víctor M. Sánchez-Cartagena, Barry Haddow, Diptesh Kanojia, Mary Nurminen, Helena Moniz, Mikel Forcada and Chris Oakley
Series
Proceedings of the 25th Annual Conference of the European Association for Machine Translation, Volume 2: Products & Projects
Pagination
6-7
Publisher
European Association for Machine Translation (EAMT)
Conference
The 25th Annual Conference of the European Association for Machine Translation (Sheffield)
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Abstract

This project aims to develop a multilingual notification system for asylum reception centres in Belgium using machine translation. The system will allow staff to communicate practical messages to residents in their own language. Ethnographically inspired fieldwork is being conducted in reception centres to understand current communication practices and ensure that the technology meets user needs. The quality and suitability of machine translation will be evaluated for three MT systems supporting all target languages. Automatic and manual evaluation methods will be used to assess translation quality, and terms of use, privacy and data protection conditions will be analysed.