Translation Score Prediction on FLORES-AE33 (Type II)
1.36MAERT-SCORE Regressor
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| RT-SCORE RegressorMT System=MBART50-M2M, MT System Status=seen, Trans. Metric=BLEU2022.09 | 1.36 | 1.97 | 0.93 | |
| RT-SCORE RegressorMT System=MBART50-M2M, MT System Status=seen, Trans. Metric=spBLEU2022.09 | 1.61 | 2.19 | 0.93 | |
| RT-SCORE RegressorMT System=M2M-100-BASE, MT System Status=unseen, Trans. Metric=BLEU2022.09 | 3.1 | 4.16 | 0.95 | |
| RT-SCORE RegressorMT System=M2M-100-BASE, MT System Status=unseen, Trans. Metric=spBLEU2022.09 | 3.24 | 4.18 | 0.96 | |
| RT-SCORE RegressorMT System=MBART50-M2M, MT System Status=seen, Trans. Metric=chrF2022.09 | 3.8 | 4.89 | 0.95 | |
| RT-SCORE RegressorMT System=M2M-100-BASE, MT System Status=unseen, Trans. Metric=BERTScore2022.09 | 4.38 | 6.51 | 0.83 | |
| RT-SCORE RegressorMT System=MBART50-M2M, MT System Status=seen, Trans. Metric=BERTScore2022.09 | 4.67 | 6.38 | 0.88 | |
| RT-SCORE RegressorMT System=M2M-100-BASE, MT System Status=unseen, Trans. Metric=chrF2022.09 | 5.53 | 6.7 | 0.95 |