Unsupervised Machine Translation On Wmt2014 1
Métriques
BLEU
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | BLEU | Paper Title | Repository |
|---|---|---|---|
| GPT-3 175B (Few-Shot) | 39.2 | Language Models are Few-Shot Learners | |
| MASS (6-layer Transformer) | 34.9 | MASS: Masked Sequence to Sequence Pre-training for Language Generation | |
| SMT + NMT (tuning and joint refinement) | 33.5 | An Effective Approach to Unsupervised Machine Translation | |
| SMT | 25.9 | Unsupervised Statistical Machine Translation | |
| SMT as posterior regularization | 28.9 | Unsupervised Neural Machine Translation with SMT as Posterior Regularization | |
| MLM pretraining for encoder and decoder | 33.3 | Cross-lingual Language Model Pretraining | |
| PBSMT + NMT | 27.7 | Phrase-Based & Neural Unsupervised Machine Translation |
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