slv-epo

opus-2020-09-10.zip

• dataset: opus
• model: transformer-align
• source language(s): slv
• target language(s): epo
• model: transformer-align
• pre-processing: normalization + SentencePiece (spm4k,spm4k)
• 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.slv.epo	6.4	0.212

opus-2021-02-13.zip

• dataset: opus
• model: transformer-align
• source language(s): slv
• target language(s): epo
• model: transformer-align
• pre-processing: normalization + SentencePiece (spm4k,spm4k)
• download: opus-2021-02-13.zip
• test set translations: opus-2021-02-13.test.txt
• test set scores: opus-2021-02-13.eval.txt

Benchmarks

testset	BLEU	chr-F
Tatoeba-test.slv.epo	6.4	0.212
Tatoeba-test.slv-epo.slv.epo	6.4	0.212