@inproceedings{macken-etal-2024-matias,
title = "{M}a{TIAS}: Machine Translation to Inform Asylum Seekers",
author = {Macken, Lieve and
Hest, Ella and
Tezcan, Arda and
Lumingu, Micha{\"e}l and
Maryns, Katrijn and
Wilde, July},
editor = "Scarton, Carolina and
Prescott, Charlotte and
Bayliss, Chris and
Oakley, Chris and
Wright, Joanna and
Wrigley, Stuart and
Song, Xingyi and
Gow-Smith, Edward and
Forcada, Mikel and
Moniz, Helena",
booktitle = "Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2)",
month = jun,
year = "2024",
address = "Sheffield, UK",
publisher = "European Association for Machine Translation (EAMT)",
url = "https://aclanthology.org/2024.eamt-2.4",
pages = "6--7",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T MaTIAS: Machine Translation to Inform Asylum Seekers
%A Macken, Lieve
%A Hest, Ella
%A Tezcan, Arda
%A Lumingu, Michaël
%A Maryns, Katrijn
%A Wilde, July
%Y Scarton, Carolina
%Y Prescott, Charlotte
%Y Bayliss, Chris
%Y Oakley, Chris
%Y Wright, Joanna
%Y Wrigley, Stuart
%Y Song, Xingyi
%Y Gow-Smith, Edward
%Y Forcada, Mikel
%Y Moniz, Helena
%S Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2)
%D 2024
%8 June
%I European Association for Machine Translation (EAMT)
%C Sheffield, UK
%F macken-etal-2024-matias
%X 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.
%U https://aclanthology.org/2024.eamt-2.4
%P 6-7
Markdown (Informal)
[MaTIAS: Machine Translation to Inform Asylum Seekers](https://aclanthology.org/2024.eamt-2.4) (Macken et al., EAMT 2024)
ACL
- Lieve Macken, Ella Hest, Arda Tezcan, Michaël Lumingu, Katrijn Maryns, and July Wilde. 2024. MaTIAS: Machine Translation to Inform Asylum Seekers. In Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), pages 6–7, Sheffield, UK. European Association for Machine Translation (EAMT).