Post-editing neural machine translation in specialised languages: the role of corpora in the translation of phraseological structures
Résumé
This study focuses on phraseology in specialised texts and on students’
difficulties pertaining to phraseology in post-editing neural machine
translation output. It is undertaken within the corpus-based methodological
framework that we have developed for several purposes, one of which being
to assess the impact of corpus use on translation and post-editing. The
objective of the study is to propose a descriptive analysis of typical student
errors related to phraseology in order to design tailored pedagogical
materials. We aim to show that, with consistent training in querying
corpora and in interpreting results in an appropriate manner, students can
manage to improve their productions when translating specialised texts or
when post-editing machine translation output.