Machine Translation On Iwslt2015 English 1
Metrics
BLEU
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | BLEU |
|---|---|
| mtet-multi-domain-translation-for-english-and | 40.2 |
| learning-when-to-concentrate-or-divert | 29.12 |
| better-translation-for-vietnamese | 37.8 |
| syntax-enhanced-neural-machine-translation | 29.09 |
| 191013267 | 33.27 |
| stanford-neural-machine-translation-systems | 26.4 |
| transformers-without-tears-improving-the | 32.8 |
| no-language-left-behind-scaling-human-1 | - |
| semi-supervised-sequence-modeling-with-cross | 29.6 |
| understanding-and-improving-layer-1 | 31.4 |
| deconvolution-based-global-decoding-for | 28.47 |