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

Key Points

Technological competence is crucial for translators, particularly regarding artificial intelligence and machine translation.
Key competence models have evolved, focusing on the varying needs and challenges faced by translators in the digital age.
Assessment incorporates findings from industry surveys and training institutions to enhance translator education and skills.
Implications emphasize the need for adaptation to new technologies and continuous professional development for translators.

Abstract

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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