Machine translation as support for epistemic capacities: Findings from the DECA project

Maarit Koponen, Nina Havumetsä, Juha Lång, Mary Nurminen


Abstract
The DECA project consortium investigates epistemic capacities, defined as an individual’s access to reliable knowledge, their ability to participate in knowledge production, and society’s capacity to make informed, sustainable policy decisions. As a tool both for accessing information across language barriers and for producing multilingual information, machine translation also plays a potential role in supporting these epistemic capacities. In this paper, we present an overview of DECA’s research on two perspectives: 1) how migrants use machine translation to access information, and 2) how journalists use machine translation in their work.
Anthology ID:
2025.mtsummit-2.25
Volume:
Proceedings of Machine Translation Summit XX: Volume 2
Month:
June
Year:
2025
Address:
Geneva, Switzerland
Editors:
Pierrette Bouillon, Johanna Gerlach, Sabrina Girletti, Lise Volkart, Raphael Rubino, Rico Sennrich, Samuel Läubli, Martin Volk, Miquel Esplà-Gomis, Vincent Vandeghinste, Helena Moniz, Sara Szoc
Venue:
MTSummit
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
109–110
Language:
URL:
https://preview.aclanthology.org/mtsummit-25-ingestion/2025.mtsummit-2.25/
DOI:
Bibkey:
Cite (ACL):
Maarit Koponen, Nina Havumetsä, Juha Lång, and Mary Nurminen. 2025. Machine translation as support for epistemic capacities: Findings from the DECA project. In Proceedings of Machine Translation Summit XX: Volume 2, pages 109–110, Geneva, Switzerland. European Association for Machine Translation.
Cite (Informal):
Machine translation as support for epistemic capacities: Findings from the DECA project (Koponen et al., MTSummit 2025)
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PDF:
https://preview.aclanthology.org/mtsummit-25-ingestion/2025.mtsummit-2.25.pdf