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dataset: opus
model: transformer
source language(s): bre cor cym eng gla gle glv
target language(s): bre cor cym eng gla gle glv
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
a sentence initial language token is required in the form of >>id<<
(id = valid target language ID)
download: opus-2020-10-04.zip
test set translations: opus-2020-10-04.test.txt
test set scores: opus-2020-10-04.eval.txt
testset
BLEU
chr-F
Tatoeba-test.bre-eng.bre.eng
18.0
0.378
Tatoeba-test.cor-cym.cor.cym
8.2
0.312
Tatoeba-test.cor-eng.cor.eng
2.7
0.170
Tatoeba-test.cym-cor.cym.cor
4.3
0.086
Tatoeba-test.cym-eng.cym.eng
39.7
0.574
Tatoeba-test.cym-gla.cym.gla
7.8
0.177
Tatoeba-test.cym-gle.cym.gle
19.7
0.437
Tatoeba-test.cym-glv.cym.glv
9.9
0.269
Tatoeba-test.eng-bre.eng.bre
9.6
0.330
Tatoeba-test.eng-cor.eng.cor
0.3
0.085
Tatoeba-test.eng-cym.eng.cym
30.4
0.539
Tatoeba-test.eng-gla.eng.gla
8.3
0.316
Tatoeba-test.eng-gle.eng.gle
34.2
0.567
Tatoeba-test.eng-glv.eng.glv
11.3
0.372
Tatoeba-test.gla-cym.gla.cym
6.3
0.407
Tatoeba-test.gla-eng.gla.eng
15.2
0.324
Tatoeba-test.gle-cym.gle.cym
15.9
0.424
Tatoeba-test.gle-eng.gle.eng
47.0
0.637
Tatoeba-test.gle-glv.gle.glv
17.4
0.476
Tatoeba-test.glv-cym.glv.cym
7.4
0.271
Tatoeba-test.glv-eng.glv.eng
18.1
0.438
Tatoeba-test.glv-gle.glv.gle
48.3
0.587
Tatoeba-test.multi.multi
20.5
0.357
dataset: opus
model: transformer
source language(s): cor cym gla gle glv
target language(s): cor cym gla gle glv
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
a sentence initial language token is required in the form of >>id<<
(id = valid target language ID)
valid language labels: >>eng<< >>cym<< >>glv<< >>gle<< >>gla<< >>bre<< >>cor<<
download: opus-2021-02-19.zip
test set translations: opus-2021-02-19.test.txt
test set scores: opus-2021-02-19.eval.txt
testset
BLEU
chr-F
#sent
#words
BP
Tatoeba-test.cor-cym
8.2
0.312
3
19
1.000
Tatoeba-test.cym-cor
4.3
0.086
3
18
0.607
Tatoeba-test.cym-gla
7.8
0.195
1
7
1.000
Tatoeba-test.cym-gle
19.7
0.437
1
11
1.000
Tatoeba-test.cym-glv
9.9
0.269
11
60
1.000
Tatoeba-test.gla-cym
8.6
0.404
1
6
1.000
Tatoeba-test.gle-cym
15.9
0.424
1
13
0.834
Tatoeba-test.gle-glv
17.4
0.476
3
14
1.000
Tatoeba-test.glv-cym
7.4
0.271
11
71
0.986
Tatoeba-test.glv-gle
48.3
0.587
3
15
1.000
Tatoeba-test.multi-multi
14.4
0.353
766
4334
0.955
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