Machine Translation on WMT Chinese-English 2017 (test)
27.4BLEUDLDN
Evaluation Results
| Method | Links | |
|---|---|---|
| DLDNBack Translation=true, Method=Dual Learning + Deliberation Nets2018.03 | 27.4 | |
| ARJTBack Translation=true, Method=Agreement Regularization + Joint Training2018.03 | 27.38 | |
| DLDN2Method=Dual Learning + Deliberation Nets, First decoder reranking=false2018.03 | 27.2 | |
| ARJT2Method=Agreement Regularization + Joint Training, dropout=0.12018.03 | 27.19 | |
| DLDN4Back Translation=true, Method=Dual Learning, Architecture=Bi-NMT2018.03 | 27.16 | |
| ARJT3Method=Agreement Regularization + Joint Training, dropout=0.052018.03 | 27.07 | |
| ARJT4Method=Agreement Regularization + Joint Training, dropout=0.012018.03 | 26.98 | |
| ARBack Translation=true, Method=Agreement Regularization2018.03 | 26.91 | |
| DLDN3Back Translation=true, Method=Dual Learning, Sampling=R2L sampling2018.03 | 26.88 | |
| DLBack Translation=true, Method=Dual Learning2018.03 | 26.51 | |
| SogouContext=WMT 2017 best result, System type=Ensemble2018.03 | 26.4 | |
| BTBack Translation=true2018.03 | 25.57 | |
| TRANSFORMER-BIG + Localness + Rel_PosArchitecture=TRANSFORMER-BIG, Localness Modeling=True, Relative Position Encoding=True, # Para.=307.3M2018.10 | 25.28 | |
| TRANSFORMER-BIG + LocalnessArchitecture=TRANSFORMER-BIG, Localness Modeling=True, # Para.=307.2M2018.10 | 25.03 | |
| TRANSFORMER-BASE + Localness + Rel_PosArchitecture=TRANSFORMER-BASE, Localness Modeling=True, Relative Position Encoding=True, # Para.=108.8M2018.10 | 24.96 | |
| TRANSFORMER-BASE + LocalnessArchitecture=TRANSFORMER-BASE, Localness Modeling=True, # Para.=108.7M2018.10 | 24.77 | |
| TRANSFORMER-BIG (baseline)Architecture=TRANSFORMER-BIG, # Para.=303.9M2018.10 | 24.56 | |
| TRANSFORMER-BASE + Rel_PosArchitecture=TRANSFORMER-BASE, Relative Position Encoding=Shaw et al., 2018, # Para.=108.0M2018.10 | 24.53 | |
| BaseArchitecture=Transformer Baseline2018.03 | 24.2 | |
| TRANSFORMER-BIGArchitecture=TRANSFORMER-BIG, Source=Hassan et al., 20182018.10 | 24.2 | |
| TRANSFORMER-BASE (baseline)Architecture=TRANSFORMER-BASE, # Para.=107.9M2018.10 | 24.13 |