Machine Translation On Iwslt2014 English
Métriques
BLEU score
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | BLEU score | Paper Title | Repository |
|---|---|---|---|
| PiNMT | 32.2 | Integrating Pre-trained Language Model into Neural Machine Translation | - |
| Bi-SimCut | 31.16 | Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation | |
| MixedRepresentations | 29.93 | Sequence Generation with Mixed Representations | |
| DRDA | 30.92 | Deterministic Reversible Data Augmentation for Neural Machine Translation | |
| Unidrop | 29.99 | UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost | - |
| SimCut | 30.98 | Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation |
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