fra-nor

opus-2020-06-17.zip

• dataset: opus
• model: transformer-align
• source language(s): fra
• 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.fra.nor	36.1	0.555

opus-2021-02-23.zip

• dataset: opus
• model: transformer
• source language(s): fra
• 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

Benchmarks

testset	BLEU	chr-F	#sent	#words	BP
Tatoeba-test.fra-nno	41.2	0.632	154	921	1.000
Tatoeba-test.fra-nob	56.5	0.709	322	2165	0.979
Tatoeba-test.fra-nor	53.7	0.703	476	3089	0.988