CUNI submission in WMT17: Chimera goes neural
Roman Sudarikov, David Mareček, Tom Kocmi, Dušan Variš, Ondřej Bojar · 2017
This paper describes the neural and phrase-based machine translation systems submitted by CUNI to English-Czech News Translation Task of WMT17.We experiment with synthetic data for training and try several system combination techniques, both neural and phrase-based.Our primary submission CU-CHIMERA ends up being phrase-based backbone which incorporates neural and deep-syntactic candidate translations.