Papers with Mixed-domain tasks
Sarah’s Participation in WAT 2019 (D19-52)
Copied to clipboard
| Challenge: | Using the Transformer architecture, we trained similar systems across different tasks. |
| Approach: | They presented their results in the 6th Workshop on Asian Translation (WAT) translation task and their submissions to the task. |
| Outcome: | The proposed models perform better on tasks with smaller datasets and with smaller heads on multilingual datasets. |