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dataset: opus
model: transformer
source language(s): chm est fin fkv hun izh kom krl liv mdf myv olo sma sme udm vep
target language(s): dan fao isl non nor swe
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-2021-02-16.zip
test set translations: opus-2021-02-16.test.txt
test set scores: opus-2021-02-16.eval.txt
testset
BLEU
chr-F
fiskmo_testset-finswe.fin.swe
22.0
0.553
Tatoeba-test.est-fao.est.fao
1.9
0.155
Tatoeba-test.fin-dan.fin.dan
52.4
0.676
Tatoeba-test.fin-isl.fin.isl
100.0
1.000
Tatoeba-test.fin-nor.fin.nor
45.4
0.668
Tatoeba-test.fin-swe.fin.swe
50.4
0.666
Tatoeba-test.fkv-nor.fkv.nor
18.7
0.433
Tatoeba-test.fkv-swe.fkv.swe
32.5
0.481
Tatoeba-test.hun-dan.hun.dan
37.9
0.707
Tatoeba-test.hun-nor.hun.nor
54.8
0.730
Tatoeba-test.hun-swe.hun.swe
48.2
0.647
Tatoeba-test.izh-nor.izh.nor
73.1
0.629
Tatoeba-test.krl-nor.krl.nor
50.1
0.574
Tatoeba-test.multi.multi
49.9
0.666
Tatoeba-test.sma-nor.sma.nor
3.9
0.108
Tatoeba-test.sme-nor.sme.nor
3.6
0.106
Tatoeba-test.sme-swe.sme.swe
4.2
0.179
Tatoeba-test.vep-nor.vep.nor
2.8
0.203
dataset: opus
model: transformer
source language(s): est fin fkv hun izh krl sma sme vep
target language(s): dan fao isl nno nob swe
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: >>nno<< >>nob<< >>swe<< >>dan<< >>isl<<
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
fiskmo_testset.fin-swe
22.0
0.553
523
9479
0.996
Tatoeba-test.est-fao
1.9
0.155
1
27
0.656
Tatoeba-test.fin-dan
52.4
0.676
2665
16672
1.000
Tatoeba-test.fin-isl
100.0
1.000
2
8
1.000
Tatoeba-test.fin-nor
45.4
0.668
2489
14768
1.000
Tatoeba-test.fin-swe
50.4
0.666
2500
16762
0.969
Tatoeba-test.fkv-nor
18.7
0.433
37
153
0.960
Tatoeba-test.fkv-swe
32.5
0.481
1
6
1.000
Tatoeba-test.hun-dan
37.9
0.707
75
456
1.000
Tatoeba-test.hun-nor
54.8
0.730
137
919
0.982
Tatoeba-test.hun-swe
48.2
0.647
1614
11114
0.953
Tatoeba-test.izh-nor
73.1
0.629
2
7
1.000
Tatoeba-test.krl-nor
50.1
0.574
15
88
1.000
Tatoeba-test.multi-multi
49.9
0.666
9548
61057
0.997
Tatoeba-test.sma-nor
3.9
0.108
2
15
0.607
Tatoeba-test.sme-nor
3.6
0.106
2
15
0.931
Tatoeba-test.sme-swe
4.2
0.179
4
23
1.000
Tatoeba-test.vep-nor
2.8
0.203
2
24
1.000
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