The application of supervised learning technologies to textual data from the humanities in order to shed light on stylometric questions has become more popular of late.
these approaches have been applied to questions from the field of translation studies, which concern the notion of translationese 1 detection in Italian and other languages, (Baroni and Bernardini, 2006;Ilisei et al., 2010;Ilisei and Inkpen, 2011;Popescu, 2011;Koppel and Ordan, 2011;Lembersky et al., 2011).