nor-swe

opus-2020-06-17.zip

• dataset: opus
• model: transformer-align
• source language(s): nno nob
• target language(s): swe
• model: transformer-align
• pre-processing: normalization + SentencePiece (spm4k,spm4k)
• 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.nor.swe	63.7	0.773

opus-2021-02-18.zip

• dataset: opus
• model: transformer
• source language(s): nno nob
• target language(s): swe
• model: transformer
• pre-processing: normalization + SentencePiece (spm32k,spm32k)
• download: opus-2021-02-18.zip
• test set translations: opus-2021-02-18.test.txt
• test set scores: opus-2021-02-18.eval.txt

Benchmarks

testset	BLEU	chr-F	#sent	#words	BP
Tatoeba-test.nno-swe	65.9	0.698	2	11	0.905
Tatoeba-test.nob-swe	74.2	0.846	560	3660	0.994
Tatoeba-test.nor-swe	74.7	0.849	562	3672	0.994