In recent decades, machine translation (MT) has made enormous strides toward more
human-like translations due to the evolution of technology (Poibeau, 2017). This progress …

Machine Translation (MT) has developed rapidly since the release of Large Language
Models and current MT evaluation is performed through comparison with reference human …

The machine translation (MT) research field has made considerable progress in recent
years, having advanced from the phrase-based Statistical MT (PBSMT) to the Neural MT …

This study aims to explore the impact of neural machine translation (NMT) postediting on
metaphorical expressions from English to Chinese in terms of productivity, translation …

One of the main aims of this work is to compare and analyse the translation of metaphors in
subtitles as performed by human translators and by machine translation, and conduct MT …

A survey of twelve translation students in 2017 revealed that they tend to find translating
figurative and metaphorical language difficult. In addition, an experiment also conducted in …

Metaphor and translation are no strangers to each other. In fact, they share not only an
etymology (metaphor originating from Greek meta [change, eg of place] and pherein [to …

Recent studies have highlighted that the translation of Multiword Units (MWUs) by Machine
Translation (MT) is still an open challenge, whatever the adopted approach (statistical, rule …

This thesis, titled Cognitive effort in metaphor translation–an eye-tracking and key-logging
study, is an empirical investigation of professional translators' cognitive effort during …

Abstract Machine translation (MT) evaluation often focuses on accuracy and fluency, without
paying much attention to translation style. This means that, even when considered accurate …