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dataset: opus
model: transformer
source language(s): eng
target language(s): dan fao isl non_Latn swe
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
Tatoeba-test.eng-dan.eng.dan
57.2
0.720
Tatoeba-test.eng-fao.eng.fao
8.2
0.314
Tatoeba-test.eng-isl.eng.isl
23.1
0.500
Tatoeba-test.eng.multi
52.0
0.681
Tatoeba-test.eng-non.eng.non
0.7
0.193
Tatoeba-test.eng-swe.eng.swe
57.4
0.713
dataset: opus
model: transformer
source language(s): eng
target language(s): dan fao isl nno nob nob_Hebr non_Latn swe
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-2020-07-06.zip
test set translations: opus-2020-07-06.test.txt
test set scores: opus-2020-07-06.eval.txt
testset
BLEU
chr-F
Tatoeba-test.eng-dan.eng.dan
57.0
0.719
Tatoeba-test.eng-fao.eng.fao
6.9
0.300
Tatoeba-test.eng-isl.eng.isl
22.6
0.500
Tatoeba-test.eng.multi
52.6
0.684
Tatoeba-test.eng-non.eng.non
1.9
0.189
Tatoeba-test.eng-nor.eng.nor
11.9
0.388
Tatoeba-test.eng-swe.eng.swe
57.4
0.714
dataset: opus
model: transformer
source language(s): eng
target language(s): dan fao isl nno nob nob_Hebr non_Latn swe
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
Tatoeba-test.eng-dan.eng.dan
57.0
0.719
Tatoeba-test.eng-fao.eng.fao
7.0
0.311
Tatoeba-test.eng-isl.eng.isl
23.3
0.500
Tatoeba-test.eng.multi
52.3
0.683
Tatoeba-test.eng-non.eng.non
0.7
0.196
Tatoeba-test.eng-nor.eng.nor
49.6
0.671
Tatoeba-test.eng-swe.eng.swe
56.9
0.711
dataset: opus2m
model: transformer
source language(s): eng
target language(s): dan fao isl nno nob nob_Hebr non_Latn swe
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
Tatoeba-test.eng-dan.eng.dan
57.7
0.724
Tatoeba-test.eng-fao.eng.fao
9.2
0.322
Tatoeba-test.eng-isl.eng.isl
23.8
0.506
Tatoeba-test.eng.multi
52.8
0.688
Tatoeba-test.eng-non.eng.non
0.7
0.196
Tatoeba-test.eng-nor.eng.nor
50.3
0.678
Tatoeba-test.eng-swe.eng.swe
57.8
0.717
dataset: opus1m+bt
model: transformer-align
source language(s): eng
target language(s): dan fao isl nno nob non swe
model: transformer-align
pre-processing: normalization + SentencePiece (spm32k,spm32k)
a sentence initial language token is required in the form of >>id<< (id = valid target language ID)
valid language labels: >>dan<< >>fao<< >>isl<< >>jut<< >>nno<< >>nob<< >>non<< >>non_Latn<< >>nrn<< >>ovd<< >>qer<< >>rmg<< >>swe<<
download: opus1m+bt-2021-04-13.zip
test set translations: opus1m+bt-2021-04-13.test.txt
test set scores: opus1m+bt-2021-04-13.eval.txt
testset
BLEU
chr-F
#sent
#words
BP
Tatoeba-test.eng-dan
57.2
0.720
10000
73191
0.980
Tatoeba-test.eng-fao
17.7
0.398
294
1933
0.957
Tatoeba-test.eng-isl
22.8
0.499
2500
18999
0.935
Tatoeba-test.eng-multi
52.9
0.687
10000
71671
0.967
Tatoeba-test.eng-nno
31.1
0.551
460
3428
0.989
Tatoeba-test.eng-nob
52.8
0.689
4539
36110
0.963
Tatoeba-test.eng-non
0.7
0.194
15
142
0.986
Tatoeba-test.eng-nor
51.0
0.677
5000
39543
0.966
Tatoeba-test.eng-swe
56.9
0.710
10000
65572
0.966
opus1m+bt-tuned4eng2fao-2021-04-16.zip
testset
BLEU
chr-F
#sent
#words
BP
Tatoeba-test.eng-fao
18.7
0.406
294
1933
0.949
Tatoeba-test.eng-multi
44.1
0.607
10000
71671
0.971
opus4m+btTCv20210807-2021-09-30.zip
dataset: opus4m+btTCv20210807
model: transformer
source language(s): eng
target language(s): dan fao isl nno nob non swe
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)
valid language labels: >>dan<< >>fao<< >>isl<< >>jut<< >>nno<< >>nob<< >>non<< >>non_Latn<< >>nrn<< >>ovd<< >>qer<< >>rmg<< >>swe<<
download: opus4m+btTCv20210807-2021-09-30.zip
test set translations: opus4m+btTCv20210807-2021-09-30.test.txt
test set scores: opus4m+btTCv20210807-2021-09-30.eval.txt
testset
BLEU
chr-F
#sent
#words
BP
Tatoeba-test-v2021-08-07.eng-multi
52.2
0.683
10000
72532
0.982
Tatoeba-test-v2021-08-07.multi-multi
52.2
0.683
10000
72532
0.982
opus4m+btTCv20210807-2021-12-08.zip
dataset: opus4m+btTCv20210807
model: transformer-big
source language(s): eng
target language(s): dan fao isl nno nob nob_Zinh non_Latn swe
raw source language(s): eng
raw target language(s): dan fao isl nno nob non swe
model: transformer-big
pre-processing: normalization + SentencePiece (spm32k,spm32k)
a sentence initial language token is required in the form of >>id<< (id = valid target language ID)
valid language labels:
download: opus4m+btTCv20210807-2021-12-08.zip
test set translations: opus4m+btTCv20210807-2021-12-08.test.txt
test set scores: opus4m+btTCv20210807-2021-12-08.eval.txt
testset
BLEU
chr-F
#sent
#words
BP
Tatoeba-test-v2021-08-07.eng-dan
57.9
0.7243
10795
79361
0.990
Tatoeba-test-v2021-08-07.eng-fao
14.4
0.3176
294
1933
0.902
Tatoeba-test-v2021-08-07.eng-isl
36.7
0.5729
2503
19023
0.968
Tatoeba-test-v2021-08-07.eng-multi
53.8
0.6916
10000
72532
0.978
Tatoeba-test-v2021-08-07.eng-non
0.7
0.1937
15
142
1.000
Tatoeba-test-v2021-08-07.eng-nor
52.8
0.6909
5000
39543
0.978
Tatoeba-test-v2021-08-07.eng-swe
56.8
0.7100
10362
68060
0.973
opusTCv20210807+bt_transformer-big_2022-03-13.zip
testset
BLEU
chr-F
#sent
#words
BP
Tatoeba-test-v2021-08-07.eng-dan
61.1
0.74740
10795
79361
0.992
Tatoeba-test-v2021-08-07.eng-fao
17.9
0.40067
294
1933
0.971
Tatoeba-test-v2021-08-07.eng-isl
39.4
0.59243
2503
19023
0.957
Tatoeba-test-v2021-08-07.eng-multi
58.5
0.72602
10000
71106
0.982
Tatoeba-test-v2021-08-07.eng-nno
39.8
0.60805
460
3428
0.997
Tatoeba-test-v2021-08-07.eng-nob
57.0
0.72105
4539
36110
0.975
Tatoeba-test-v2021-08-07.eng-non
0.7
0.18711
15
142
1.000
Tatoeba-test-v2021-08-07.eng-nor
55.6
0.71151
5000
39543
0.977
Tatoeba-test-v2021-08-07.eng-swe
60.4
0.73736
10362
68060
0.975
opusTCv20210807+bt_transformer-big_2022-03-17.zip
testset
BLEU
chr-F
#sent
#words
BP
Tatoeba-test-v2021-08-07.eng-dan
61.1
0.74740
10795
79361
0.992
Tatoeba-test-v2021-08-07.eng-fao
17.9
0.40067
294
1933
0.971
Tatoeba-test-v2021-08-07.eng-isl
39.4
0.59243
2503
19023
0.957
Tatoeba-test-v2021-08-07.eng-multi
58.8
0.72799
10000
71106
0.982
Tatoeba-test-v2021-08-07.eng-nno
39.8
0.60805
460
3428
0.997
Tatoeba-test-v2021-08-07.eng-nob
57.0
0.72105
4539
36110
0.975
Tatoeba-test-v2021-08-07.eng-non
0.7
0.18711
15
142
1.000
Tatoeba-test-v2021-08-07.eng-nor
55.6
0.71151
5000
39543
0.977
Tatoeba-test-v2021-08-07.eng-swe
60.4
0.73736
10362
68060
0.975
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