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dataset: opus
model: transformer-align
source language(s): jpn
target language(s): acm apc ara arq arz
model: transformer-align
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-2020-09-10.zip
test set translations: opus-2020-09-10.test.txt
test set scores: opus-2020-09-10.eval.txt
testset
BLEU
chr-F
Tatoeba-test.jpn.ara
11.6
0.394
dataset: opus
model: transformer-align
source language(s): jpn
target language(s): acm apc ara arq arz
model: transformer-align
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: >>ara<< >>arq<< >>arz<<
download: opus-2021-02-24.zip
test set translations: opus-2021-02-24.test.txt
test set scores: opus-2021-02-24.eval.txt
testset
BLEU
chr-F
#sent
#words
BP
Tatoeba-test.jpn-acm
1.8
0.221
35
183
1.000
Tatoeba-test.jpn-apc
0.0
0.085
1
4
0.717
Tatoeba-test.jpn-ara
11.7
0.395
1336
7089
1.000
Tatoeba-test.jpn-arq
1.2
0.133
10
48
1.000
Tatoeba-test.jpn-arz
2.5
0.104
13
67
0.804
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