no code implementations • ACL 2019 • Du{\v{s}}an Vari{\v{s}}, Ond{\v{r}}ej Bojar
In our method, we initialize the weights of the encoder and decoder with two language models that are trained with monolingual data and then fine-tune the model on parallel data using Elastic Weight Consolidation (EWC) to avoid forgetting of the original language modeling task.
no code implementations • WS 2018 • Jind{\v{r}}ich Helcl, Jind{\v{r}}ich Libovick{\'y}, Du{\v{s}}an Vari{\v{s}}
For our submission, we acquired both textual and multimodal additional data.
no code implementations • WS 2017 • Tom Kocmi, Du{\v{s}}an Vari{\v{s}}, Ond{\v{r}}ej Bojar
The paper presents this year{'}s CUNI submissions to the WAT 2017 Translation Task focusing on the Japanese-English translation, namely Scientific papers subtask, Patents subtask and Newswire subtask.