The study examines the technological competence of specialised translators, in the light of academic competence models from the past decade (PACTE 2003/2017 and subsequent papers published by PACTE 2018, 2020; EMT 2017/2022; eTransFair 2018; TEKOM 2018; CIUTI 2018) and of various industry surveys conducted in international and national contexts (HUNNECT 2021; ELIS 2023 and 2024 with a brief outlook on ELIS 2025; as well as Proford and SZOFT 2024). It examines technological competence with a focus on machine translation (MT) and artificial intelligence (AI), predominantly from the perspective of market players and training institutions. The paper also briefly revisits a few studies that discuss the issue of technological competence from different perspectives and puts forward general recommendations for training institutions.
Csilla Szabó (Mon,) studied this question.