Michaël Lumingu
2024
MaTIAS: Machine Translation to Inform Asylum Seekers
Lieve Macken
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Ella Hest
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Arda Tezcan
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Michaël Lumingu
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Katrijn Maryns
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July Wilde
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2)
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.