CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation   Tasks
  Neural sequence to sequence learning recently became a very promising paradigm in machine translation, achieving competitive results with statistical phrase-based systems. In this system description paper, we attempt to utilize several recently published methods used for neural sequential learning in order to build systems for WMT 2016 shared tasks of Automatic Post-Editing and Multimodal Machine Translation. 
Jind\v{r}ich Libovick\'y, Jind\v{r}ich Helcl, Marek Tlust\'y, Pavel   Pecina, Ond\v{r}ej Bojar
cs.CL