Machine Translation On Iwslt2014 English
Metrics
BLEU score
Results
Performance results of various models on this benchmark
Model Name | BLEU score | Paper Title | Repository |
|---|---|---|---|
| PiNMT | 32.2 | Integrating Pre-trained Language Model into Neural Machine Translation | - |
| Bi-SimCut | 31.16 | Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation | |
| MixedRepresentations | 29.93 | Sequence Generation with Mixed Representations | |
| DRDA | 30.92 | Deterministic Reversible Data Augmentation for Neural Machine Translation | |
| Unidrop | 29.99 | UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost | - |
| SimCut | 30.98 | Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation |
0 of 6 row(s) selected.