pol-ara

opus-2020-06-18.zip

• dataset: opus
• model: transformer
• source language(s): pol
• target language(s): ara arz
• 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-2020-06-18.zip
• test set translations: opus-2020-06-18.test.txt
• test set scores: opus-2020-06-18.eval.txt

Benchmarks

testset	BLEU	chr-F
Tatoeba-test.pol.ara	20.4	0.491

opus-2020-07-03.zip

• dataset: opus
• model: transformer
• source language(s): pol
• target language(s): ara arz
• 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-2020-07-03.zip
• test set translations: opus-2020-07-03.test.txt
• test set scores: opus-2020-07-03.eval.txt

Benchmarks

testset	BLEU	chr-F
Tatoeba-test.pol.ara	20.4	0.491