1 code implementation • EMNLP 2021 • Vilém Zouhar, Aleš Tamchyna, Martin Popel, Ondřej Bojar
We test the natural expectation that using MT in professional translation saves human processing time.
no code implementations • WS 2017 • Aleš Tamchyna, Marion Weller-Di Marco, Alexander Fraser
NMT systems have problems with large vocabulary sizes.
no code implementations • ACL 2016 • Aleš Tamchyna, Alexander Fraser, Ondřej Bojar, Marcin Junczys-Dowmunt
Discriminative translation models utilizing source context have been shown to help statistical machine translation performance.
no code implementations • WS 2014 • Ondrej Bojar, Christian Buck, Christian Federmann, Barry Haddow, Philipp Koehn, Johannes Leveling, Christof Monz, Pavel Pecina, Matt Post, Herve Saint-Amand, Radu Soricut, Lucia Specia, Aleš Tamchyna