Differences between SMT and NMT Output - a Translators' Point of View

no code implementations • RANLP 2019 • Jonathan Mutal, Lise Volkart, Pierrette Bouillon, Sabrina Girletti, Paula Estrella

In this study, we compare the output quality of two MT systems, a statistical (SMT) and a neural (NMT) engine, customised for Swiss Post{'}s Language Service using the same training data.

NMT

Re-design of the Machine Translation Training Tool (MT3)

no code implementations • EAMT 2020 • Paula Estrella, Emiliano Cuenca, Laura Bruno, Jonathan Mutal, Sabrina Girletti, Lise Volkart, Pierrette Bouillon

We believe that machine translation (MT) must be introduced to translation students as part of their training, in preparation for their professional life.

Machine Translation Translation

Studying Post-Editese in a Professional Context: A Pilot Study

no code implementations • EAMT 2022 • Lise Volkart, Pierrette Bouillon

The past few years have seen the multiplication of studies on post-editese, following the massive adoption of post-editing in professional translation workflows.

Machine Translation Translation