As PE became integrated into the workflow of translation, research interest in PE soared. Most empirical research studies on post-editing focus on one or more of the following topics:

a) the productivity of post-editing, which is usually conceptualised as the time needed to produce the final version of the TT, plus the technical and cognitive effort required from the translator/post-editor;

b) the quality of the post-edited text, which is often compared to the quality of human translations;

c) errors specific to, or more characteristic of, post-edited texts;

d) translators’ attitude to MT and PE.

 

Less common, but for the present study, relevant research topics include:

a) the role of language competence in post-editing;

b) the perception of post-editing (follow-up opinions on the task);

c) digital, info-mining, and thematic competencies;

d) affective factors.

 

In addition, the above factors are often studied with different text types, different populations (novices – experts), different language pairs and different MT engines (neural vs. statistical). Although types of post-editing (fast/light, full and partial) are distinguished in the literature (Allen, 2003; Hu & Cadwell, 2016), the type of PE required from the translators is not always explicitly mentioned in the studies. In the following, a brief summary of the research results on the topics described above will be presented.