- dataset: opus
- model: transformer
- source language(s): bre cor cym gla gle glv
- target language(s): eng
- model: transformer
- pre-processing: normalization + SentencePiece (spm32k,spm32k)
- download: opus-2020-06-28.zip
- test set translations: opus-2020-06-28.test.txt
- test set scores: opus-2020-06-28.eval.txt
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.bre-eng.bre.eng | 15.2 | 0.362 |
| Tatoeba-test.cor-eng.cor.eng | 3.1 | 0.175 |
| Tatoeba-test.cym-eng.cym.eng | 38.3 | 0.564 |
| Tatoeba-test.gla-eng.gla.eng | 14.7 | 0.318 |
| Tatoeba-test.gle-eng.gle.eng | 50.0 | 0.660 |
| Tatoeba-test.glv-eng.glv.eng | 30.0 | 0.466 |
| Tatoeba-test.multi.eng | 22.1 | 0.391 |
- dataset: opus
- model: transformer
- source language(s): bre cor cym gla gle glv
- target language(s): eng
- model: transformer
- pre-processing: normalization + SentencePiece (spm32k,spm32k)
- download: opus-2020-07-26.zip
- test set translations: opus-2020-07-26.test.txt
- test set scores: opus-2020-07-26.eval.txt
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.bre-eng.bre.eng | 16.7 | 0.375 |
| Tatoeba-test.cor-eng.cor.eng | 2.7 | 0.175 |
| Tatoeba-test.cym-eng.cym.eng | 39.3 | 0.563 |
| Tatoeba-test.gla-eng.gla.eng | 13.7 | 0.312 |
| Tatoeba-test.gle-eng.gle.eng | 47.8 | 0.642 |
| Tatoeba-test.glv-eng.glv.eng | 45.2 | 0.614 |
| Tatoeba-test.multi.eng | 21.7 | 0.387 |
- dataset: opus2m
- model: transformer
- source language(s): bre cor cym gla gle glv
- target language(s): eng
- model: transformer
- pre-processing: normalization + SentencePiece (spm32k,spm32k)
- download: opus2m-2020-07-31.zip
- test set translations: opus2m-2020-07-31.test.txt
- test set scores: opus2m-2020-07-31.eval.txt
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.bre-eng.bre.eng | 17.2 | 0.385 |
| Tatoeba-test.cor-eng.cor.eng | 3.0 | 0.172 |
| Tatoeba-test.cym-eng.cym.eng | 41.5 | 0.582 |
| Tatoeba-test.gla-eng.gla.eng | 15.4 | 0.330 |
| Tatoeba-test.gle-eng.gle.eng | 50.8 | 0.668 |
| Tatoeba-test.glv-eng.glv.eng | 11.0 | 0.297 |
| Tatoeba-test.multi.eng | 22.8 | 0.398 |
- dataset: opus4m
- model: transformer
- source language(s): bre cor cym gla gle glv
- target language(s): eng
- model: transformer
- pre-processing: normalization + SentencePiece (spm32k,spm32k)
- download: opus4m-2020-08-12.zip
- test set translations: opus4m-2020-08-12.test.txt
- test set scores: opus4m-2020-08-12.eval.txt
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.bre-eng.bre.eng | 17.2 | 0.395 |
| Tatoeba-test.cor-eng.cor.eng | 3.2 | 0.177 |
| Tatoeba-test.cym-eng.cym.eng | 41.3 | 0.584 |
| Tatoeba-test.gla-eng.gla.eng | 16.3 | 0.337 |
| Tatoeba-test.gle-eng.gle.eng | 51.3 | 0.675 |
| Tatoeba-test.glv-eng.glv.eng | 17.0 | 0.525 |
| Tatoeba-test.multi.eng | 23.3 | 0.404 |