Name
Abstract | ||
|---|---|---|
This paper describes our system (Team ID: nictrb) for participating in the WAT'21 restricted machine translation task. In our submitted system, we designed a new training approach for restricted machine translation. By sampling from the translation target, we can solve the problem that ordinary training data does not have a restricted vocabulary. With the further help of constrained decoding in the inference phase, we achieved better results than the baseline, confirming the effectiveness of our solution. In addition, we also tried the vanilla and sparse Transformer as the backbone network of the model, as well as model ensembling, which further improved the final translation performance. |
Year | Venue | DocType |
|---|---|---|
2021 | WAT 2021: THE 8TH WORKSHOP ON ASIAN TRANSLATION | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zuchao Li | 1 | 35 | 12.61 |
| Masao Utiyama | 2 | 0 | 0.34 |
| Eiichiro Sumita | 3 | 0 | 0.34 |
| Hai Zhao | 4 | 960 | 113.64 |