Machine Translation On Iwslt2017 French
Metrics
SacreBLEU
Results
Performance results of various models on this benchmark
Model Name | SacreBLEU | Paper Title | Repository |
|---|---|---|---|
| NLLB-200 | 45.8 | 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.