36.2959, Confs: Seminar at the 2026 ESSE Conference: Translation and AI: Training and Practice (Spain)

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LINGUIST List: Vol-36-2959. Fri Oct 03 2025. ISSN: 1069 - 4875.

Subject: 36.2959, Confs: Seminar at the 2026 ESSE Conference: Translation and AI: Training and Practice (Spain)

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Date: 02-Oct-2025
From: Tiffany Jandrain [tiffany.jandrain at umons.ac.be]
Subject: Seminar at the 2026 ESSE Conference: Translation and AI: Training and Practice


Seminar at the 2026 ESSE Conference: Translation and AI: Training and
Practice

Date: 31-Aug-2026 - 04-Sep-2026
Location: Santiago de Compostela, Spain
Meeting URL: https://www.esse2026.com/en/index.php

Linguistic Field(s): Translation
Subject Language(s): English (eng)

Submission Deadline: 31-Jan-2026

The rapid development of AI and its integration into translator
training and translation practices have led to numerous changes in
both academia (Bada & Schumacher, 2024; Loock, 2025) and the
translation industry (Girletti & Lefer, 2024), hence a need for
trainees and professionals to adapt to an ever-changing field. The
necessity of mastering new AI skills, namely prompt engineering (He,
2024: 316), leads both lecturers and professionals to reinvent
themselves more than ever. Although the recent AI developments have
led to the use of MT for many text types that were considered, until
recently, to be AI-resistant, human intervention is still needed to
maintain professional quality standards, particularly for literary
translation (Hansen & Esperança-Rodier, 2022: 185), creative domains
(dubbing, subtitling, localisation) (e.g. Jiménez-Crespo, 2024: 18)
and specialised translation (terminology management, polysemy) (Kübler
et al., 2024). We welcome proposals to discuss any of the following:
 - Translation training in the generative AI era;
 - Prompt engineering in translation and its effects on quality and
process;
 - AI post-editing in creative fields;
 - AI post-editing in literary translation;
 - AI post-editing in specialised translation;
 - AI use in terminology management;
 - Comparing AI-generated translation and human productions;
 - Post-editing processes and strategies implemented by students and
professionals;
 - Changes in the translation profession;
 - Keep translation training competitive in the AI context;
 - Ethical and ecological considerations of AI use;
 - Quality assessment tools and their strengths / limitations;
 - Tendency to trust / mistrust AI-generated translation outputs.
Convenors of the Seminar:
Tiffany Jandrain (University of Mons, Belgium / University of Louvain,
Belgium), Charlène Meyers (University of Mons, Belgium), Loïc De Faria
Pires (University of Mons, Belgium) & Joëlle Popineau (University of
Tours, France).
Please submit your proposal to the following:
tiffany.jandrain at umons.ac.be ; charlene.meyers at umons.ac.be ;
loic.defariapires at umons.ac.be ; joelle.popineau at univ-tours.fr
References:
Bada, V. & Schumacher, P. (2024). L’intégration de l’IA dans la
formation des traducteur.ices : évolution sous double contrainte ? Le
cas de l’Université de Liège (Belgique) [Paper presentation]. Journée
d’études : Formation des formateurs à l'ère des mutations
technologiques et professionnelles (AFFUMT et DGT), Dijon, France.
Girletti, S. & Lefer, M. A. (2024). Introducing MTPE pricing in
translator training: a concrete proposal for MT instructors. The
Interpreter and Translator Trainer, 18(1).
Hansen, D. & Esperança-Rodier, E. (2022). Human-Adapted MT for
Literary Texts: Reality or Fantasy? NeTTT 2022, pp.178-190.
He, S. (2024). Prompting ChatGPT for Translation: A Comparative
Analysis of Translation Brief and Persona Prompts. Proceedings of the
25th Annual Conference of the European Association for Machine
Translation (Volume 1), pp. 316–326.
Jiménez-Crespo, M. A. (2024). Localization in Translation. Oxon and
New York: Routledge.
Kübler, N., Martikainen, H., Mestivier, A., & Pecman, M. (2024).
Post-editing neural machine translation in specialised languages: The
role of corpora in the translation of phraseological structures. In J.
Monti, G. Corpas Pastor, R. Mitkov, & C. M. Hidalgo-Ternero (Eds.),
Current Issues in Linguistic Theory (Vol. 366, pp. 57–78). John
Benjamins Publishing Company. https://doi.org/10.1075/cilt.366.04kub
Loock, R. (2025). Des compétences linguistiques augmentées ? Pour une
utilisation raisonnée de la traduction automatique neuronale et des
chatbots en cours de traduction. Conférence Traduction - Langues -
Enseignement, Université de Montpellier Paul-Valéry, France.



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