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dataset: opus
model: transformer
source language(s): amh ara arc hbo heb jpa mlt oar phn syc syr tig tir tmr
target language(s): chm est fin fkv hun izh kom krl liv mdf myv olo sma sme udm vep
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-2021-02-13.zip
test set translations: opus-2021-02-13.test.txt
test set scores: opus-2021-02-13.eval.txt
testset
BLEU
chr-F
Tatoeba-test.ara-fin.ara.fin
64.3
0.760
Tatoeba-test.ara-hun.ara.hun
31.5
0.513
Tatoeba-test.heb-fin.heb.fin
33.8
0.589
Tatoeba-test.heb-hun.heb.hun
26.4
0.520
Tatoeba-test.multi.multi
30.0
0.545
Tatoeba-test.tmr-hun.tmr.hun
6.7
0.059
dataset: opus
model: transformer
source language(s): ara arq arz heb jpa tmr
target language(s): fin hun
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: >>hun<< >>fin<<
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.ara-fin
64.3
0.760
7
34
1.000
Tatoeba-test.ara-hun
31.5
0.513
93
482
1.000
Tatoeba-test.arq-hun
8.1
0.148
1
6
1.000
Tatoeba-test.heb-fin
34.0
0.590
212
1302
0.911
Tatoeba-test.heb-hun
26.3
0.519
401
2177
0.986
Tatoeba-test.jpa-hun
6.4
0.113
2
6
1.000
Tatoeba-test.multi-multi
30.0
0.545
718
4013
0.966
Tatoeba-test.tmr-hun
6.7
0.059
5
16
1.000
opus-tuned4ara2fin-2021-03-03.zip
testset
BLEU
chr-F
#sent
#words
BP
Tatoeba-test.ara-fin
69.5
0.772
7
34
1.000
Tatoeba-test.ara-hun
3.0
0.162
93
482
1.000
Tatoeba-test.heb-fin
26.4
0.519
212
1302
0.902
Tatoeba-test.heb-hun
1.1
0.153
401
2179
1.000
Tatoeba-test.jpa-hun
9.5
0.110
2
6
1.000
Tatoeba-test.multi-multi
10.4
0.293
718
4013
1.000
Tatoeba-test.tmr-hun
4.2
0.044
5
16
1.000
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