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dataset: opus
model: transformer
source language(s): eng
target language(s): ber_Arab ber_Latn ber_Tfng
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-2020-09-10.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.eng.ber
0.0
0.074
dataset: opus
model: transformer
source language(s): eng
target language(s): ber kab rif shi shy tmh
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-2021-02-10.zip
test set translations: opus-2021-02-10.test.txt
test set scores: opus-2021-02-10.eval.txt
testset
BLEU
chr-F
Tatoeba-test.eng.ber
0.0
0.074
Tatoeba-test.eng-ber.eng.ber
0.0
0.074
Tatoeba-test.eng-kab.eng.kab
0.0
0.071
Tatoeba-test.eng.multi
0.0
0.073
Tatoeba-test.eng-rif.eng.rif
0.3
0.058
Tatoeba-test.eng-shy.eng.shy
0.4
0.060
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