@inproceedings{orrego-carmona-etal-2026-reaching,
title = "Reaching multilingual communities: a survey mapping {MT} use in the West Midlands ({UK}) third and public sector organisations",
author = "Orrego-Carmona, David and
Ghosh, Priyanki and
Valdez, Susana",
editor = "Shterionov, Dimitar and
Vanmassenhove, Eva and
De Sisto, Mirella and
Blain, Fred and
Pourmostafa Roshan Sharami, Javad and
Lepp, Lisa and
Manna, Chiara and
Rescigno, Argentina Anna and
Karakanta, Alina and
Rigouts Terryn, Ayla and
Lardelli, Manuel and
Resende, Natalia and
Murgolo, Elena and
Hackenbuchner, Jani{\c{c}}a and
Zaretskaya, Anna and
Espl{\`a}-Gomis, Miquel and
Etchegoyhen, Thierry and
Gromann, Dagmar and
Bawden, Rachel and
Haddow, Barry and
Szoc, Sara and
Forcada, Mikel and
Moniz, Helena",
booktitle = "Proceedings of the 26th Annual Conference of the {E}uropean Association for Machine Translation (Volume 1)",
month = jun,
year = "2026",
address = "Tilburg, The Netherlands",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2026.eamt-1.38/",
pages = "608--619",
ISBN = "9789403901411",
abstract = "Machine Translation (MT) has become a default language access tool in public and third sector organisations serving multilingual communities. However, how organisations, and their staff, actually use it, and their opinions about it, remain largely undocumented. This paper reports findings from charities, NGOs, community organisations and local government authorities in the West Midlands (UK), one of the most linguistically diverse areas of the country. The results indicate that MT use is widespread, informal, and driven by necessity rather than informed decisions or policies. Google Translate is the preferred tool; policies about MT use are rare, and confidence in translation quality is limited. Risk perception varies across the sector: local government respondents identify the widest range of concerns, including legal and medical, while third-sector organisations suggest a pragmatic approach. However, greater risk-awareness does not lead to greater governance, pointing to a gap between individual MT literacy and institutional accountability. Based on this, we propose some recommendations for how organisation serving multilingual communities should approach MT implementation and training."
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<abstract>Machine Translation (MT) has become a default language access tool in public and third sector organisations serving multilingual communities. However, how organisations, and their staff, actually use it, and their opinions about it, remain largely undocumented. This paper reports findings from charities, NGOs, community organisations and local government authorities in the West Midlands (UK), one of the most linguistically diverse areas of the country. The results indicate that MT use is widespread, informal, and driven by necessity rather than informed decisions or policies. Google Translate is the preferred tool; policies about MT use are rare, and confidence in translation quality is limited. Risk perception varies across the sector: local government respondents identify the widest range of concerns, including legal and medical, while third-sector organisations suggest a pragmatic approach. However, greater risk-awareness does not lead to greater governance, pointing to a gap between individual MT literacy and institutional accountability. Based on this, we propose some recommendations for how organisation serving multilingual communities should approach MT implementation and training.</abstract>
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%0 Conference Proceedings
%T Reaching multilingual communities: a survey mapping MT use in the West Midlands (UK) third and public sector organisations
%A Orrego-Carmona, David
%A Ghosh, Priyanki
%A Valdez, Susana
%Y Shterionov, Dimitar
%Y Vanmassenhove, Eva
%Y De Sisto, Mirella
%Y Blain, Fred
%Y Pourmostafa Roshan Sharami, Javad
%Y Lepp, Lisa
%Y Manna, Chiara
%Y Rescigno, Argentina Anna
%Y Karakanta, Alina
%Y Rigouts Terryn, Ayla
%Y Lardelli, Manuel
%Y Resende, Natalia
%Y Murgolo, Elena
%Y Hackenbuchner, Janiça
%Y Zaretskaya, Anna
%Y Esplà-Gomis, Miquel
%Y Etchegoyhen, Thierry
%Y Gromann, Dagmar
%Y Bawden, Rachel
%Y Haddow, Barry
%Y Szoc, Sara
%Y Forcada, Mikel
%Y Moniz, Helena
%S Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
%D 2026
%8 June
%I European Association for Machine Translation
%C Tilburg, The Netherlands
%@ 9789403901411
%F orrego-carmona-etal-2026-reaching
%X Machine Translation (MT) has become a default language access tool in public and third sector organisations serving multilingual communities. However, how organisations, and their staff, actually use it, and their opinions about it, remain largely undocumented. This paper reports findings from charities, NGOs, community organisations and local government authorities in the West Midlands (UK), one of the most linguistically diverse areas of the country. The results indicate that MT use is widespread, informal, and driven by necessity rather than informed decisions or policies. Google Translate is the preferred tool; policies about MT use are rare, and confidence in translation quality is limited. Risk perception varies across the sector: local government respondents identify the widest range of concerns, including legal and medical, while third-sector organisations suggest a pragmatic approach. However, greater risk-awareness does not lead to greater governance, pointing to a gap between individual MT literacy and institutional accountability. Based on this, we propose some recommendations for how organisation serving multilingual communities should approach MT implementation and training.
%U https://aclanthology.org/2026.eamt-1.38/
%P 608-619
Markdown (Informal)
[Reaching multilingual communities: a survey mapping MT use in the West Midlands (UK) third and public sector organisations](https://aclanthology.org/2026.eamt-1.38/) (Orrego-Carmona et al., EAMT 2026)
ACL