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

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.