fin-nor

opus-2020-06-17.zip

• dataset: opus
• model: transformer-align
• source language(s): fin
• target language(s): nno nob
• model: transformer-align
• pre-processing: normalization + SentencePiece (spm4k,spm4k)
• 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

Benchmarks

testset	BLEU	chr-F
Tatoeba-test.fin.nor	23.5	0.426

opus-2020-09-10.zip

• dataset: opus
• model: transformer
• source language(s): fin
• 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)
• download: opus-2020-09-10.zip
• test set translations: opus-2020-09-10.test.txt
• test set scores: opus-2020-09-10.eval.txt

Benchmarks

testset	BLEU	chr-F
Tatoeba-test.fin.nor	50.6	0.699