Machine Translation On Iwslt2017 Arabic
Metrics
SacreBLEU
Results
Performance results of various models on this benchmark
| Paper Title | ||
|---|---|---|
| NLLB-200 | 44.7 | No Language Left Behind: Scaling Human-Centered Machine Translation |
| Transformer base + BPE-Dropout | - | BPE-Dropout: Simple and Effective Subword Regularization |
0 of 2 row(s) selected.