Machine Translation on Multi30K (test) using SacreBLEU and COMET
40.6De SacreBLEUTET
Evaluation results
| Method | Links | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TETModel=TET (Ours)2025.09 | 40.6 | 0.66 | 41.1 | 0.68 | 49.9 | 0.78 | 51 | 0.77 | 44.2 | 0.69 | 37.4 | 0.68 | 39.2 | 0.7 | 32.6 | 0.68 | 42 | 0.7 | |
| TEnc/langModel=TEnc/lang2025.09 | 40 | 0.66 | 41.6 | 0.7 | 50.2 | 0.8 | 49.9 | 0.78 | 44.1 | 0.7 | 40.1 | 0.7 | 46.2 | 0.74 | 36.7 | 0.69 | 43.6 | 0.72 | |
| TEnc/allModel=TEnc/all2025.09 | 39.1 | 0.66 | 40.9 | 0.7 | 49.1 | 0.78 | 48.3 | 0.77 | 44 | 0.69 | 39 | 0.7 | 42.4 | 0.72 | 36.4 | 0.72 | 42.4 | 0.72 | |
| TET-RndModel=TET-Rnd2025.09 | 39 | 0.65 | 38.6 | 0.67 | 49.3 | 0.76 | 50 | 0.76 | 40.7 | 0.68 | 35.8 | 0.66 | 38.7 | 0.69 | 30.6 | 0.67 | 40.3 | 0.69 |