Machine Translation On Wmt2016 German English
Metrics
BLEU score
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | BLEU score |
|---|---|
| linguistic-input-features-improve-neural | 32.9 |
| finetuned-language-models-are-zero-shot | 38.9 |
| exploiting-monolingual-data-at-scale-for | - |
| edinburgh-neural-machine-translation-systems | 38.6 |
| unsupervised-neural-machine-translation-with-1 | 14.62 |
| unsupervised-machine-translation-using | 13.33 |
| unsupervised-statistical-machine-translation | 23.05 |
| finetuned-language-models-are-zero-shot | 40.7 |