Bitext Mining on Tatoeba 112 languages (test)
83.7AccuracyLaBSE
Evaluation results
| Method | Links | |
|---|---|---|
| LaBSE2022.12 | 83.7 | |
| VMSST2022.12 | 81.1 | |
| XLM-R (Para.)2022.12 | 67.1 | |
| LASER2022.12 | 65.5 |
| Method | Links | |
|---|---|---|
| LaBSE2022.12 | 83.7 | |
| VMSST2022.12 | 81.1 | |
| XLM-R (Para.)2022.12 | 67.1 | |
| LASER2022.12 | 65.5 |