WMT2017 Czech-English machine translation challenge for news
Translate news articles from Czech into English. [ver. 1.0.0]
Git repo URL: git://gonito.net/wmt-2017-cs-en / Branch: master
Run git clone --single-branch git://gonito.net/wmt-2017-cs-en -b master to get the challenge data
Browse at https://gonito.net/gitlist/wmt-2017-cs-en.git/master
Leaderboard
| # | submitter | when | ver. | description | test-A GLEU | test-A BLEU | × | |
|---|---|---|---|---|---|---|---|---|
| 1 | [anonymized] | 2019-10-15 21:03 | 1.0.0 | lab1 - substitute existing | 0.3373 | 0.3095 | 3 | |
| 2 | Artur Nowakowski | 2019-10-15 13:19 | 1.0.0 | Substitute solution existing | 0.3373 | 0.3095 | 5 | |
| 3 | [anonymized] | 2018-11-06 18:26 | 1.0.0 | solution existing | 0.3324 | 0.3039 | 5 | |
| 4 | [anonymized] | 2018-11-06 20:12 | 1.0.0 | translation IBM MODEL 1 files self-made existing | 0.3324 | 0.3039 | 32 | |
| 5 | [anonymized] | 2018-10-24 08:12 | 1.0.0 | uedin dev existing | 0.3324 | 0.3038 | 5 | |
| 6 | [anonymized] | 2018-10-22 12:13 | 1.0.0 | uedin existing | 0.3324 | 0.3038 | 7 | |
| 7 | [anonymized] | 2018-10-30 11:21 | 1.0.0 | improve online-B existing | 0.3079 | 0.2704 | 4 | |
| 8 | [anonymized] | 2018-10-24 08:16 | 1.0.0 | 002 existing | 0.3067 | 0.2689 | 2 | |
| 9 | [anonymized] | 2018-10-24 08:15 | 1.0.0 | TAU-2018-002 existing | 0.3067 | 0.2689 | 2 | |
| 10 | [anonymized] | 2018-10-24 09:07 | 1.0.0 | online-B existing | 0.3067 | 0.2689 | 1 | |
| 11 | [anonymized] | 2018-10-17 20:00 | 1.0.0 | TAU 002 - OnlineB existing | 0.3067 | 0.2689 | 3 | |
| 12 | [anonymized] | 2018-10-17 09:27 | 1.0.0 | zadanie existing | 0.3067 | 0.2689 | 1 | |
| 13 | [anonymized] | 2018-10-24 08:22 | 1.0.0 | TAU 002 existing | 0.3067 | 0.2689 | 5 | |
| 14 | [anonymized] | 2019-10-14 12:08 | 1.0.0 | Regex solution | 0.3067 | 0.2689 | 2 | |
| 15 | [anonymized] | 2019-12-30 15:02 | 1.0.0 | Runed an available model marian | 0.2918 | 0.2546 | 3 | |
| 16 | [anonymized] | 2018-10-23 12:56 | 1.0.0 | Online-A existing | 0.2862 | 0.2465 | 6 | |
| 17 | [anonymized] | 2018-10-24 09:03 | 1.0.0 | ex02 existing | 0.2862 | 0.2465 | 20 | |
| 18 | p/tlen | 2019-01-27 16:13 | 1.0.0 | Marian 5 epochs marian | 0.1879 | 0.1426 | 1 | |
| 19 | [anonymized] | 2020-01-27 09:33 | 1.0.0 | TAU_28 Marian s2s, tokenizer, truecaser marian | 0.1823 | 0.1298 | 2 | |
| 20 | [anonymized] | 2020-01-29 07:51 | 1.0.0 | Moses czech to english with 10 corpus sizes trainsize=250000 moses | 0.1647 | 0.1057 | 5 | |
| 21 | [anonymized] | 2019-11-20 09:44 | 1.0.0 | Add dev-0 results moses | 0.1576 | 0.0958 | 7 | |
| 22 | [anonymized] | 2019-10-23 08:19 | 1.0.0 | Solution stupid | 0.0846 | 0.0329 | 4 | |
| 23 | [anonymized] | 2019-10-19 17:38 | 1.0.0 | My stupid solution stupid | 0.0724 | 0.0217 | 3 | |
| 24 | [anonymized] | 2019-11-02 09:56 | 1.0.0 | now its ok, but previous was strange self-made word-level | 0.0626 | 0.0189 | 7 | |
| 25 | [anonymized] | 2019-10-22 22:25 | 1.0.0 | stupid solution stupid | 0.0481 | 0.0184 | 7 | |
| 26 | [anonymized] | 2019-10-18 12:10 | 1.0.0 | TAU2019-001 stupid | 0.0474 | 0.0178 | 4 | |
| 27 | [anonymized] | 2019-10-22 09:38 | 1.0.0 | cp in.tsv out.tsv stupid | 0.0420 | 0.0151 | 2 | |
| 28 | [anonymized] | 2019-10-21 21:13 | 1.0.0 | tlumaczenie stupid | 0.0603 | 0.0141 | 1 | |
| 29 | [anonymized] | 2019-11-05 19:42 | 1.0.0 | 300 lines 30 iterations self-made java word-level | 0.0397 | 0.0134 | 2 | |
| 30 | [anonymized] | 2021-02-20 14:54 | 1.0.0 | test for ev fairseq m2m-100 just-inference | 0.0292 | 0.0075 | 3 | |
| 31 | [anonymized] | 2019-10-22 20:42 | 1.0.0 | example stupid stupid | 0.0423 | 0.0068 | 1 | |
| 32 | [anonymized] | 2019-10-22 11:01 | 1.0.0 | czech - eng translation stupid | 0.0364 | 0.0058 | 1 | |
| 33 | [anonymized] | 2019-10-16 10:49 | 1.0.0 | stupid best 4-gram sentence stupid | 0.0327 | 0.0056 | 2 | |
| 34 | [anonymized] | 2019-10-20 19:52 | 1.0.0 | first solution stupid | 0.0285 | 0.0040 | 1 | |
| 35 | [anonymized] | 2019-10-23 12:01 | 1.0.0 | add main.py | 0.0490 | 0.0031 | 2 | |
| 36 | [anonymized] | 2021-01-27 04:55 | 1.0.0 | v2.1 lstm pytorch-nn | 0.0192 | 0.0009 | 3 | |
| 37 | [anonymized] | 2021-02-05 09:22 | 1.0.0 | Add results. pytorch-nn gru | 0.0182 | 0.0004 | 4 | |
| 38 | [anonymized] | 2021-02-03 20:59 | 1.0.0 | cz-en | 0.0288 | 0.0000 | 4 |