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dataset: opus
model: transformer
source language(s): eng
target language(s): lav lit ltg prg_Latn sgs
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-2020-06-28.zip
test set translations: opus-2020-06-28.test.txt
test set scores: opus-2020-06-28.eval.txt
testset
BLEU
chr-F
newsdev2017-enlv-englav.eng.lav
22.4
0.533
newsdev2019-enlt-englit.eng.lit
19.5
0.520
newstest2017-enlv-englav.eng.lav
17.3
0.493
newstest2019-enlt-englit.eng.lit
12.7
0.453
Tatoeba-test.eng-lav.eng.lav
40.4
0.637
Tatoeba-test.eng-lit.eng.lit
35.1
0.634
Tatoeba-test.eng.multi
33.9
0.596
Tatoeba-test.eng-prg.eng.prg
0.2
0.110
Tatoeba-test.eng-sgs.eng.sgs
1.5
0.136
dataset: opus
model: transformer
source language(s): eng
target language(s): lav lit ltg prg_Latn sgs
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-2020-07-26.zip
test set translations: opus-2020-07-26.test.txt
test set scores: opus-2020-07-26.eval.txt
testset
BLEU
chr-F
newsdev2017-enlv-englav.eng.lav
22.8
0.533
newsdev2019-enlt-englit.eng.lit
19.4
0.518
newstest2017-enlv-englav.eng.lav
17.2
0.493
newstest2019-enlt-englit.eng.lit
13.1
0.456
Tatoeba-test.eng-lav.eng.lav
41.2
0.636
Tatoeba-test.eng-lit.eng.lit
34.6
0.631
Tatoeba-test.eng.multi
35.1
0.599
Tatoeba-test.eng-prg.eng.prg
0.5
0.130
Tatoeba-test.eng-sgs.eng.sgs
3.8
0.192
dataset: opus2m
model: transformer
source language(s): eng
target language(s): lav lit ltg prg_Latn sgs
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: opus2m-2020-08-01.zip
test set translations: opus2m-2020-08-01.test.txt
test set scores: opus2m-2020-08-01.eval.txt
testset
BLEU
chr-F
newsdev2017-enlv-englav.eng.lav
24.0
0.546
newsdev2019-enlt-englit.eng.lit
20.9
0.533
newstest2017-enlv-englav.eng.lav
18.3
0.506
newstest2019-enlt-englit.eng.lit
13.6
0.466
Tatoeba-test.eng-lav.eng.lav
42.8
0.652
Tatoeba-test.eng-lit.eng.lit
37.1
0.650
Tatoeba-test.eng.multi
37.0
0.616
Tatoeba-test.eng-prg.eng.prg
0.5
0.130
Tatoeba-test.eng-sgs.eng.sgs
4.1
0.178
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