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dataset: opus
model: transformer
source language(s): bam_Latn ewe fuc fuv ibo kdx kin lin lug nya run sag sna toi_Latn tso umb wol xho yor zul
target language(s): eng
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download: opus-2020-07-04.zip
test set translations: opus-2020-07-04.test.txt
test set scores: opus-2020-07-04.eval.txt
testset
BLEU
chr-F
Tatoeba-test.bam-eng.bam.eng
4.9
0.087
Tatoeba-test.ewe-eng.ewe.eng
7.6
0.283
Tatoeba-test.ful-eng.ful.eng
1.2
0.114
Tatoeba-test.ibo-eng.ibo.eng
5.2
0.163
Tatoeba-test.kdx-eng.kdx.eng
3.8
0.181
Tatoeba-test.kin-eng.kin.eng
23.1
0.448
Tatoeba-test.lin-eng.lin.eng
4.1
0.211
Tatoeba-test.lug-eng.lug.eng
9.0
0.275
Tatoeba-test.multi.eng
24.2
0.411
Tatoeba-test.nya-eng.nya.eng
33.0
0.464
Tatoeba-test.run-eng.run.eng
25.0
0.422
Tatoeba-test.sag-eng.sag.eng
0.9
0.086
Tatoeba-test.sna-eng.sna.eng
24.9
0.395
Tatoeba-test.toi-eng.toi.eng
5.3
0.107
Tatoeba-test.tso-eng.tso.eng
76.5
0.855
Tatoeba-test.umb-eng.umb.eng
7.5
0.211
Tatoeba-test.wol-eng.wol.eng
7.4
0.238
Tatoeba-test.xho-eng.xho.eng
35.2
0.518
Tatoeba-test.yor-eng.yor.eng
18.7
0.349
Tatoeba-test.zul-eng.zul.eng
39.1
0.558
dataset: opus
model: transformer
source language(s): bam_Latn ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul
target language(s): eng
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download: opus-2020-07-14.zip
test set translations: opus-2020-07-14.test.txt
test set scores: opus-2020-07-14.eval.txt
testset
BLEU
chr-F
Tatoeba-test.bam-eng.bam.eng
6.0
0.122
Tatoeba-test.ewe-eng.ewe.eng
6.4
0.277
Tatoeba-test.ful-eng.ful.eng
1.2
0.108
Tatoeba-test.ibo-eng.ibo.eng
5.7
0.183
Tatoeba-test.kin-eng.kin.eng
34.3
0.490
Tatoeba-test.lin-eng.lin.eng
6.5
0.207
Tatoeba-test.lug-eng.lug.eng
13.1
0.333
Tatoeba-test.multi.eng
21.8
0.381
Tatoeba-test.nya-eng.nya.eng
35.2
0.513
Tatoeba-test.run-eng.run.eng
26.3
0.428
Tatoeba-test.sag-eng.sag.eng
2.1
0.152
Tatoeba-test.sna-eng.sna.eng
19.8
0.384
Tatoeba-test.toi-eng.toi.eng
3.9
0.182
Tatoeba-test.tso-eng.tso.eng
80.0
0.878
Tatoeba-test.umb-eng.umb.eng
7.9
0.255
Tatoeba-test.wol-eng.wol.eng
7.1
0.168
Tatoeba-test.xho-eng.xho.eng
34.8
0.527
Tatoeba-test.yor-eng.yor.eng
26.8
0.411
Tatoeba-test.zul-eng.zul.eng
45.3
0.604
dataset: opus
model: transformer
source language(s): bam_Latn ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul
target language(s): eng
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download: opus-2020-07-20.zip
test set translations: opus-2020-07-20.test.txt
test set scores: opus-2020-07-20.eval.txt
testset
BLEU
chr-F
Tatoeba-test.bam-eng.bam.eng
4.0
0.085
Tatoeba-test.ewe-eng.ewe.eng
7.5
0.328
Tatoeba-test.ful-eng.ful.eng
0.5
0.105
Tatoeba-test.ibo-eng.ibo.eng
5.8
0.210
Tatoeba-test.kin-eng.kin.eng
27.4
0.449
Tatoeba-test.lin-eng.lin.eng
1.9
0.185
Tatoeba-test.lug-eng.lug.eng
12.7
0.336
Tatoeba-test.multi.eng
21.1
0.373
Tatoeba-test.nya-eng.nya.eng
33.7
0.514
Tatoeba-test.run-eng.run.eng
25.3
0.419
Tatoeba-test.sag-eng.sag.eng
1.9
0.102
Tatoeba-test.sna-eng.sna.eng
17.3
0.367
Tatoeba-test.swa-eng.swa.eng
4.6
0.194
Tatoeba-test.toi-eng.toi.eng
4.3
0.161
Tatoeba-test.tso-eng.tso.eng
80.0
0.878
Tatoeba-test.umb-eng.umb.eng
5.2
0.226
Tatoeba-test.wol-eng.wol.eng
4.4
0.164
Tatoeba-test.xho-eng.xho.eng
35.0
0.520
Tatoeba-test.yor-eng.yor.eng
23.2
0.394
Tatoeba-test.zul-eng.zul.eng
44.0
0.612
dataset: opus
model: transformer
source language(s): bam_Latn ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul
target language(s): eng
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download: opus-2020-07-27.zip
test set translations: opus-2020-07-27.test.txt
test set scores: opus-2020-07-27.eval.txt
testset
BLEU
chr-F
Tatoeba-test.bam-eng.bam.eng
3.4
0.100
Tatoeba-test.ewe-eng.ewe.eng
7.1
0.351
Tatoeba-test.ful-eng.ful.eng
0.6
0.109
Tatoeba-test.ibo-eng.ibo.eng
4.3
0.202
Tatoeba-test.kin-eng.kin.eng
35.5
0.484
Tatoeba-test.lin-eng.lin.eng
3.8
0.188
Tatoeba-test.lug-eng.lug.eng
4.5
0.153
Tatoeba-test.multi.eng
20.3
0.371
Tatoeba-test.nya-eng.nya.eng
34.0
0.493
Tatoeba-test.run-eng.run.eng
24.1
0.416
Tatoeba-test.sag-eng.sag.eng
16.1
0.268
Tatoeba-test.sna-eng.sna.eng
17.7
0.367
Tatoeba-test.swa-eng.swa.eng
3.8
0.189
Tatoeba-test.toi-eng.toi.eng
4.8
0.183
Tatoeba-test.tso-eng.tso.eng
80.0
0.878
Tatoeba-test.umb-eng.umb.eng
5.1
0.220
Tatoeba-test.wol-eng.wol.eng
13.6
0.216
Tatoeba-test.xho-eng.xho.eng
34.8
0.521
Tatoeba-test.yor-eng.yor.eng
22.9
0.393
Tatoeba-test.zul-eng.zul.eng
41.3
0.576
dataset: opus2m
model: transformer
source language(s): bam_Latn ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul
target language(s): eng
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download: opus2m-2020-08-12.zip
test set translations: opus2m-2020-08-12.test.txt
test set scores: opus2m-2020-08-12.eval.txt
testset
BLEU
chr-F
Tatoeba-test.bam-eng.bam.eng
2.4
0.090
Tatoeba-test.ewe-eng.ewe.eng
10.3
0.384
Tatoeba-test.ful-eng.ful.eng
1.2
0.114
Tatoeba-test.ibo-eng.ibo.eng
7.5
0.197
Tatoeba-test.kin-eng.kin.eng
30.7
0.481
Tatoeba-test.lin-eng.lin.eng
3.1
0.185
Tatoeba-test.lug-eng.lug.eng
3.1
0.261
Tatoeba-test.multi.eng
21.3
0.377
Tatoeba-test.nya-eng.nya.eng
31.6
0.502
Tatoeba-test.run-eng.run.eng
24.9
0.420
Tatoeba-test.sag-eng.sag.eng
5.2
0.231
Tatoeba-test.sna-eng.sna.eng
20.1
0.374
Tatoeba-test.swa-eng.swa.eng
4.6
0.191
Tatoeba-test.toi-eng.toi.eng
4.8
0.122
Tatoeba-test.tso-eng.tso.eng
100.0
1.000
Tatoeba-test.umb-eng.umb.eng
9.0
0.246
Tatoeba-test.wol-eng.wol.eng
14.0
0.212
Tatoeba-test.xho-eng.xho.eng
38.2
0.558
Tatoeba-test.yor-eng.yor.eng
21.2
0.364
Tatoeba-test.zul-eng.zul.eng
42.3
0.589
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