Teaching Data Management to Translation Students: From Docu-mentation Practices to Data Literacy

Pilar Sánchez-Gijón


Abstract
This paper proposes an approach to teaching data management in translation programmes, framing it as an extension of established documentation practices. It argues that data governance, sourcing, and processing are core competences for translators working with NMT and LLMs, and outlines a train-ing framework that supports responsible data reuse, quality optimisation, and professional agency.
Anthology ID:
2026.taitt-1.9
Volume:
Proceedings of the 1st International Workshop on Teaching AI-Based Translation and Technologies (TAITT 2026)
Month:
June
Year:
2026
Address:
Tilburg, the Netherlands
Editors:
Ralph Krüger, Dorothy Kenny, Sheila Castilho, Sergi Álvarez-Vidal, Nora Aranberri, María Isabel Rivas Ginel, Janiça Hackenbuchner
Venues:
TAITT | WS
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
71–75
Language:
URL:
https://aclanthology.org/2026.taitt-1.9/
DOI:
Bibkey:
Cite (ACL):
Pilar Sánchez-Gijón. 2026. Teaching Data Management to Translation Students: From Docu-mentation Practices to Data Literacy. In Proceedings of the 1st International Workshop on Teaching AI-Based Translation and Technologies (TAITT 2026), pages 71–75, Tilburg, the Netherlands. European Association for Machine Translation.
Cite (Informal):
Teaching Data Management to Translation Students: From Docu-mentation Practices to Data Literacy (Sánchez-Gijón, TAITT 2026)
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PDF:
https://aclanthology.org/2026.taitt-1.9.pdf