Ethical awareness is arguably becoming ever more relevant with the increasing digitalisation of professional practice. Ethical dilemmas are changing in nature, becoming more diverse and more difficult to tackle, also as technologically infused realities give rise to more blurry boundaries. Language professionals, in training for the roles of the…

Although machine translation software and CAT tools are commonly used both by professional translators and by those involved in the training of translators, the usefulness of electronic text corpora for these purposes is less widely known. Corpora of various types have become much easier to access during the last decade, and the main obstacle to…

The new contexts in higher education, shifting from face-to-face to online scenarios, encourage the application of disruptive methodologies adapted to distance learning. Translation and interpreting (T&I) programmes ideally foster the acquisition of competencies such as self-study, which graduates need to enter a largely freelance and…

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…

Multi-componential models of translation competence are widely used in translator training as a yardstick for curricular and syllabus design. These models must be adapted to reflect professional trends, such as the impact of artificial intelligence, and machine translation in particular, on working methods. This paper describes the process of…

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…

This study explores the way translation crowdsourcing may contribute to metacognitive translator training through a teaching experiment where Global Voices Lingua was integrated into an undergraduate English-Chinese translation course. In doing so, the study investigates how translation students' awareness of conditional knowledge and its…

Recent developments in machine translation (MT) might have led some people to believe that soon professional translation will not be needed, but most translator trainers are aware of the high demand for the quality that MT systems cannot deliver without human intervention. It is thus important that professional translators, trainers and their…

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…

In a global context increasingly prone to e-learning formats at all levels of education, especially in and after the context of the COVID-19 pandemic, the acquisition of skills in distance learning programmes should not differ from the ones in onsite learning programmes. The main objective of this study is to analyse the perception that master's…

Teaching computer-assisted translation (CAT) can require providing students with direct instructions on how to operate specific CAT tools. As opposed to subjects like translation theories, the teaching of CAT is often expected not only to instigate critical reflection but also to develop students' instrumental software skills. Striking a balance…

In 2000, Kiraly published his monograph "A Social Constructive Approach to Translator Education," which catapulted project-based translator training into prominence. Since then, many empirical studies have been conducted, all focusing on a single project. Despite cumulative evidence of the efficacy of this student-centred approach, we…

This paper intends to illustrate the didactic potential of Python-based Jupyter notebooks in teaching translation technology, machine translation in particular, to translation students. It discusses the basic makeup of Jupyter notebooks and shows how these notebooks can be set up for students who have had little to no prior exposure to the Python…

Though students are taught translation technology, when confronted with real-life translation tasks, they frequently fail to use technologies flexibly and properly. To address this issue, this study first highlighted the concept of translation technological thinking competence (TTTC) and its significance. Then it proposed the Knowing-Acting…

Increasing project complexity and a high level of specialization in the language industry have resulted in a demand for translation professionals with sophisticated technical skills. This has made computer-assisted translation (CAT) tools indispensable for translators in order to meet project requirements. With a rapidly changing industry…