1 code implementation • 25 Aug 2023 • Angana Borah, Daria Pylypenko, Cristina Espana-Bonet, Josef van Genabith
Translationese signals are subtle (especially for professional translation) and compete with many other signals in the data such as genre, style, author, and, in particular, topic.
no code implementations • 24 Oct 2022 • Kwabena Amponsah-Kaakyire, Daria Pylypenko, Josef van Genabith, Cristina España-Bonet
Previous research did not show $(i)$ whether the difference is because of the features, the classifiers or both, and $(ii)$ what the neural classifiers actually learn.
no code implementations • EMNLP 2021 • Daria Pylypenko, Kwabena Amponsah-Kaakyire, Koel Dutta Chowdhury, Josef van Genabith, Cristina España-Bonet
Traditional hand-crafted linguistically-informed features have often been used for distinguishing between translated and original non-translated texts.
no code implementations • 31 Mar 2021 • Vilém Zouhar, Daria Pylypenko
The most common tools for word-alignment rely on a large amount of parallel sentences, which are then usually processed according to one of the IBM model algorithms.
no code implementations • WS 2018 • Daria Pylypenko, Raphael Rubino
This paper presents the Automatic Post-editing (APE) systems submitted by the DFKI-MLT group to the WMT{'}18 APE shared task.