eng-bel

opus-2020-09-10.zip

• dataset: opus
• model: transformer-align
• source language(s): eng
• target language(s): bel bel_Latn
• 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-2020-09-10.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.eng.bel	8.2	0.261

opus+bt-2021-03-07.zip

• dataset: opus+bt
• model: transformer-align
• source language(s): eng
• target language(s): bel
• 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)
• valid language labels: >>bel<< >>bel_Latn<<
• download: opus+bt-2021-03-07.zip
• test set translations: opus+bt-2021-03-07.test.txt
• test set scores: opus+bt-2021-03-07.eval.txt

Benchmarks

testset	BLEU	chr-F	#sent	#words	BP
Tatoeba-test.eng-bel	13.4	0.382	2500	16237	0.951
Tatoeba-test.eng-bel_Latn	2.1	0.005	3	29	0.727