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Machine translation in asylum reception centres: system selection and multilingual quality evaluation

Year: 2025

Type: article

Abstract: This paper discusses the selection of a machine translation system for use in asylum reception centres, to translate messages written in English, French, and Dutch into 14 languages, including low-resource ones like Pashto and Somali. Translation quality is assessed through automatic metrics and expert human evaluations to support effective multilingual communication.

Source: Tradumàtica tecnologies de la traducció

DOI: 10.5565/rev/tradumatica.522

Authors: Lieve Macken, Margot Fonteyne, Arda Tezcan, Ella Van Hest, Katrijn Maryns, July De Wilde

Institution: Ghent University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: Asylum, Migration and Integration Fund

Award: G6279636526