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