Translators’ Technological Competence in the Digital Age: A Focus on Machine Translation and Artificial Intelligence

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.

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