Machine translation to inform asylum seekers : intermediate findings from the MaTIAS project

Publication type
C1
Publication status
Published
Authors
Macken, L., van Hest, E, Tezcan, A., Lumingu, M., Maryns, K, & De Wilde, J.
Editor
Pierrette Bouillon, Johanna Gerlach, Sabrina Girletti, Lise Volkart, Raphael Rubino, Rico Sennrich, Samuel Läubli, Martin Volk, Miquel Esplà-Gomis, Vincent Vandeghinste, Helena Moniz and Sara Szoc
Series
Proceedings of Machine Translation Summit XX : volume 2
Pagination
77-78
Publisher
European Association for Machine Translation (EAMT)
Conference
20th Machine Translation Summit (Geneva, Switzerland)
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Abstract

We present key interim findings from the ongoing MaTIAS project, which focuses on developing a multilingual notification system for asylum reception centres in Belgium. This system integrates machine translation (MT) to enable staff to provide practical information to residents in their native language, thus fostering more effective communication. Our discussion focuses on three key aspects: the development of the multilingual messaging platform, the types of messages the system is designed to handle, and the evaluation of potential MT systems for integration.