In recent years, machine translation post-editing (MTPE or PE for short) has been steadily gaining ground in the language industry. However, studies that examine translators' perceptions of, and attitudes towards, MTPE paint a somewhat negative picture, with PE pricing methods and rates being a major source of dissatisfaction. While the European…

Mass adoption of neural machine translation (NMT) tools in the translation workflow has exerted a significant impact on the language services industry over the last decade. There are claims that with the advent of NMT, automated translation has reached human parity for translating news (see, e.g. Popel et al. 2020). Moreover, some machine…

Motivated by the urgent need to investigate the possibilities for re-positioning the human translator and his/her educator in the machine translation (MT) age, this article explores the dynamics of the human-machine dance in the translation classroom. The article discusses the results of a collaborative learning experiment which was conducted in…

Drawing from research on revision competence and revision didactics, and based on the proposal of a multi-component revision competence model, a short-term revision course was offered in 2015 as part of a Specialized Translation module. During the course, students were also involved in an experimental study whose overall aim was to investigate the…

This paper presents the ERASMUS+ "DigiLing" project, which aims to teach and improve linguists' and translators' skills and knowledge of digitalisation to prepare them for today's job market. Against this background, it discusses the development of digital competencies and distinguishes them from traditional domain-specific and general…