MaTIAS : Machine Translation to Inform Asylum Seekers
- Publication type
- C1
- Publication status
- Published
- Authors
- Macken, L., van Hest, E, Tezcan, A., Lumingu, M., Maryns, K, & De Wilde, J.
- Editor
- Carolina Scarton, Charlotte Prescott, Chris Bayliss, Chris Oakley, Joanna Wright, Stuart Wrigley, Xingyi Song, Edward Gow-Smith, Mikel Forcada and Helena Moniz
- 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
- 25th Annual Conference of the European Association for Machine Translation (EAMT 2024) (Sheffield, UK)
- Download
- (.pdf)
- Project
- MaTIAS
- View in Biblio
- (externe link)
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.