WMT2017 German-English machine translation challenge for news
Translate news articles from German into English. [ver. 1.0.0]
Git repo URL: git://gonito.net/wmt-2017 / Branch: master
Run git clone --single-branch git://gonito.net/wmt-2017 -b master to get the challenge data
Browse at https://gonito.net/gitlist/wmt-2017.git/master
Leaderboard
| # | submitter | when | ver. | description | test-A BLEU | × | |
|---|---|---|---|---|---|---|---|
| 1 | [anonymized] | 2020-01-15 09:58 | 1.0.0 | Poprawienie Tokenizacji istniejacego rozwiazania v3 ready-made fairseq | 0.41504 | 3 | |
| 2 | [anonymized] | 2020-01-14 20:53 | 1.0.0 | fix tokenization of output ready-made fairseq | 0.39879 | 1 | |
| 3 | [anonymized] | 2021-02-17 19:16 | 1.0.0 | result fairseq m2m-100 just-inference | 0.35347 | 1 | |
| 4 | [anonymized] | 2021-02-12 19:54 | 1.0.0 | notebook fairseq m2m-100 just-inference | 0.35347 | 2 | |
| 5 | p/tlen | 2018-01-09 18:10 | 1.0.0 | WMT16 neural model (decoded with Amun) + de-escape apostrophes neural-network | 0.28988 | 7 | |
| 6 | [anonymized] | 2020-01-07 11:35 | 1.0.0 | ready-made Fairseq model fairseq ready-made-model | 0.26579 | 1 | |
| 7 | [anonymized] | 2019-12-30 09:59 | 1.0.0 | Runed a ready-made Fairseq model fairseq ready-made-model | 0.26579 | 1 | |
| 8 | [anonymized] | 2018-02-15 00:38 | 1.0.0 | Tensorflow 80k iterations ; beam 4 alpha 0.9 ready-made neural-network | 0.26322 | 4 | |
| 9 | kaczla | 2017-11-29 11:33 | 1.0.0 | baseline Moses on 100% utterances + 40GB english monolingual data (4-gram + pruning + 9 iteration MERT - weights no change) | 0.25513 | 26 | |
| 10 | [anonymized] | 2019-05-22 12:01 | 1.0.0 | marian 1M neural-network marian | 0.24561 | 41 | |
| 11 | [anonymized] | 2020-01-28 17:56 | 1.0.0 | translation with ready made fairseq transformer.wmt19.de-en v2 fairseq ready-made-model | 0.23698 | 2 | |
| 12 | [anonymized] | 2017-11-22 15:05 | 1.0.0 | 40GB language model ready-made moses | 0.23152 | 5 | |
| 13 | [anonymized] | 2018-01-03 00:06 | 1.0.0 | dev-0 dev-1 test-A -stack 1500 moses | 0.20230 | 14 | |
| 14 | [anonymized] | 2018-01-31 11:43 | 1.0.0 | corpus=590616, NB_OF_EPOCHS=8, MAX_WORDS=46000 neural-network | 0.19461 | 14 | |
| 15 | [anonymized] | 2018-02-07 11:10 | 1.0.0 | Add 5G data moses | 0.19183 | 5 | |
| 16 | [anonymized] | 2017-11-26 09:13 | 1.0.0 | 5G monolingual data moses | 0.18459 | 16 | |
| 17 | [anonymized] | 2018-01-08 16:35 | 1.0.0 | TAU-2017-21 - improve solution by changing some decoding options: -stack 150 moses | 0.18379 | 14 | |
| 18 | [anonymized] | 2020-01-27 12:19 | 1.0.0 | CNN, sample_size = 5mln, epochs = 5 fairseq train | 0.07834 | 21 | |
| 19 | [anonymized] | 2018-02-04 23:59 | 1.0.0 | 'baseline' moses | 0.02823 | 5 | |
| 20 | [anonymized] | 2017-10-03 13:23 | 1.0.0 | just checkin' stupid | 0.00762 | 1 |