Corpus analysis methods have been widely employed in literary translation research by numerous scholars. However, their integration into literary translation training has yet to be developed. With the advancement of AI technology, this paper explores the potential of employing AI-enhanced corpus text analysis and text mining techniques in this…

The goal of this study was to investigate the impact of repeated use of a metacognitive self-regulation inventory (MSRI) in translator self-training. Designed by the researchers, the MSRI includes the cognitive management strategies of planning, monitoring and evaluation. A pre-post comparison study was conducted with two groups of students. The…

We examine the stylistic aspects of L2 translations using a set of quantifiable descriptors. The sample includes 40 translations of a promotional text from Czech into English and French produced by novices and professional translators. The general stylistic competence is slightly higher in the group of professionals, although the overall quality…

The article attempts to determine whether translation errors (in particular semantic and stylistic ones) in translator-training settings are predominantly the result of translation directionality, i.e. of the fact that the student translators are translating into their L2 and that their language competence in L2 is not as strong as in their L1, or…