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dataset: opus
model: transformer-align
source language(s): dan
target language(s): nno nob
model: transformer-align
pre-processing: normalization + SentencePiece (spm12k,spm12k)
a sentence initial language token is required in the form of >>id<<
(id = valid target language ID)
download: opus-2020-06-17.zip
test set translations: opus-2020-06-17.test.txt
test set scores: opus-2020-06-17.eval.txt
testset
BLEU
chr-F
Tatoeba-test.dan.nor
66.4
0.801
dataset: opus
model: transformer
source language(s): dan
target language(s): nno nob
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: >>nob<< >>nno<<
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
Tatoeba-test.dan-nno
38.4
0.663
12
71
0.986
Tatoeba-test.dan-nob
76.3
0.863
1299
9617
1.000
Tatoeba-test.dan-nor
76.0
0.863
1311
9691
0.999
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