mlt-eng

opus-2021-02-19.zip

• dataset: opus
• model: transformer-align
• source language(s): mlt
• target language(s): eng
• model: transformer-align
• pre-processing: normalization + SentencePiece (spm32k,spm32k)
• download: opus-2021-02-19.zip
• test set translations: opus-2021-02-19.test.txt
• test set scores: opus-2021-02-19.eval.txt

Benchmarks

testset	BLEU	chr-F	#sent	#words	BP
Tatoeba-test.mlt-eng	49.3	0.662	203	1165	1.000

opus+bt-2021-04-30.zip

• dataset: opus+bt
• model: transformer-align
• source language(s): mlt
• target language(s): eng
• model: transformer-align
• pre-processing: normalization + SentencePiece (spm32k,spm32k)
• download: opus+bt-2021-04-30.zip
• test set translations: opus+bt-2021-04-30.test.txt
• test set scores: opus+bt-2021-04-30.eval.txt

Benchmarks

testset	BLEU	chr-F	#sent	#words	BP
Tatoeba-test.mlt-eng	52.5	0.675	203	1165	0.984