Work

MaTIAS - Machine Translation to Inform Asylum Seekers: final results

Year: 2026

Type: conference-paper

Abstract: This paper reports on the final stages of the MaTIAS project. A functional prototype of the multilingual notification tool was deployed across seven Belgian reception centres, accompanied by training and support. Feedback was gathered through interviews and surveys. Two rounds of machine translation evaluation revealed considerable differences in quality across languages. The translation quality of Tigrinya in particular was deemed too low to be usable.

Source: Ghent University Academic Bibliography (Ghent University)

Authors: De Wilde, July, Wouters, Anaïs, Tezcan, Arda, Van den Meersschaut, Simon, Maryns, Katrijn, Macken, Lieve

Institution: Ghent University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7204744517

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