- dataset: opus
- model: transformer
- source language(s): est vro
- target language(s): eng
- model: transformer
- pre-processing: normalization + SentencePiece (spm32k,spm32k)
- download: opus-2021-02-18.zip
- test set translations: opus-2021-02-18.test.txt
- test set scores: opus-2021-02-18.eval.txt
testset | BLEU | chr-F | #sent | #words | BP |
---|---|---|---|---|---|
newsdev2018-enet.est-eng | 30.1 | 0.576 | 2000 | 43194 | 1.000 |
newstest2018-enet.est-eng | 30.0 | 0.581 | 2000 | 45521 | 1.000 |
Tatoeba-test.est-eng | 58.2 | 0.729 | 1359 | 8811 | 0.967 |
- dataset: opus
- model: transformer
- source language(s): est vro
- target language(s): eng
- model: transformer
- pre-processing: normalization + SentencePiece (spm32k,spm32k)
- download: opus-2021-02-23.zip
- test set translations: opus-2021-02-23.test.txt
- test set scores: opus-2021-02-23.eval.txt
testset | BLEU | chr-F | #sent | #words | BP |
---|---|---|---|---|---|
newsdev2018-enet.est-eng | 30.3 | 0.577 | 2000 | 43194 | 1.000 |
newstest2018-enet.est-eng | 30.2 | 0.581 | 2000 | 45521 | 1.000 |
Tatoeba-test.est-eng | 58.2 | 0.730 | 1359 | 8811 | 0.966 |
Tatoeba-test.vro-eng | 39.1 | 0.420 | 5 | 44 | 0.745 |
- dataset: opus+bt
- model: transformer-align
- source language(s): est vro
- target language(s): eng
- model: transformer-align
- pre-processing: normalization + SentencePiece (spm32k,spm32k)
- download: opus+bt-2021-04-30.zip
- test set translations: opus+bt-2021-04-30.test.txt
- test set scores: opus+bt-2021-04-30.eval.txt
testset | BLEU | chr-F | #sent | #words | BP |
---|---|---|---|---|---|
newsdev2018-enet.est-eng | 31.4 | 0.589 | 2000 | 43194 | 1.000 |
newstest2018-enet.est-eng | 32.5 | 0.599 | 2000 | 45521 | 1.000 |
Tatoeba-test.est-eng | 59.1 | 0.737 | 1359 | 8811 | 0.972 |
Tatoeba-test.vro-eng | 6.2 | 0.171 | 5 | 44 | 0.301 |
- dataset: opusTCv20210807+bt
- model: transformer-big
- source language(s): est vro
- target language(s): eng
- raw source language(s): est vro
- raw target language(s): eng
- model: transformer-big
- pre-processing: normalization + SentencePiece (spm32k,spm32k)
- download: opusTCv20210807+bt_transformer-big_2022-03-09.zip
- test set translations: opusTCv20210807+bt_transformer-big_2022-03-09.test.txt
- test set scores: opusTCv20210807+bt_transformer-big_2022-03-09.eval.txt
testset | BLEU | chr-F | #sent | #words | BP |
---|---|---|---|---|---|
newsdev2018-enet.est-eng | 33.8 | 0.59924 | 2000 | 43194 | 0.989 |
newstest2018-enet.est-eng | 34.4 | 0.60694 | 2000 | 45521 | 0.991 |
Tatoeba-test-v2021-08-07.multi-eng | 59.7 | 0.73707 | 1359 | 8811 | 0.973 |
Tatoeba-test-v2021-08-07.vro-eng | 7.4 | 0.15812 | 5 | 44 | 0.929 |