Journal of Languages and Translation
Volume 6, Numéro 1, Pages 165-182
2026-01-01

Post-editing Machine Translation As A Vital Skill In The 21st Century: A Critical Analysis Of The Integration Of Artificial Intelligence In University-level Translation Education



Authors : Slimani Hafida . Saim Rachid .

Abstract

This study offers a critical assessment of the integration of post-editing of machine translation (PEMT) in university-level translator training, within the broader context of the growing influence of artificial intelligence. The main research question focuses on the actual presence of PEMT in academic curricula across three distinct educational contexts: Algeria, France, and Canada. The study adopts a comparative methodology based on the analysis of curricula, teaching materials, and a case study involving both in-person and digital learning environments. Findings reveal significant disparities in the incorporation of PEMT, with the Algerian context showing a marked lack of pedagogical structure compared to the French and Canadian contexts. Moreover, the study highlights the limited use of essential quality assessment tools such as MQM and BLEU in current training programs. The main contribution lies in the proposal of a structured pedagogical model based on Bloom’s digital taxonomy. This model promotes project-based learning, critical thinking skills, and the use of technological tools to enhance translator education. The study concludes with a call to update academic programs to prepare future translators to engage critically and professionally with emerging AI-driven translation technologies.

Keywords

Artificial intelligence ; Digital skills ; Machine translation post-editing ; Translator training ; Translation pedagogy

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