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WAT

The Workshop on Asian Translation
Evaluation Results

[EVALUATION RESULTS TOP] | [BLEU] | [RIBES] | [AMFM] | [HUMAN (WAT2022)] | [HUMAN (WAT2021)] | [HUMAN (WAT2020)] | [HUMAN (WAT2019)] | [HUMAN (WAT2018)] | [HUMAN (WAT2017)] | [HUMAN (WAT2016)] | [HUMAN (WAT2015)] | [HUMAN (WAT2014)] | [EVALUATION RESULTS USAGE POLICY]

BLEU


# Team Task Date/Time DataID BLEU
Method
Other
Resources
System
Description
juman kytea mecab moses-
tokenizer
stanford-
segmenter-
ctb
stanford-
segmenter-
pku
indic-
tokenizer
unuse myseg kmseg
1KNU_HyundaiJPCN2zh-ja2019/07/27 08:42:20316653.2353.4453.29-------NMTYesTransformer(base) + *Used ASPEC corpus* with relative position, bt, multi source, r2l rerank, 5-model ensemble
2Bering LabJPCN2zh-ja2021/05/04 00:51:34604050.9151.7551.18-------NMTYesTransformer Ensemble with additional crawled parallel corpus
3sarahJPCN2zh-ja2019/07/26 11:32:51297849.7751.1650.21-------NMTNoTransformer, ensemble of 4 models
4tpt_watJPCN2zh-ja2021/04/27 01:43:01569148.8549.9949.18-------SMTNoBase Transformer model with shared vocab 8k size
5goku20JPCN2zh-ja2020/09/21 12:02:22408948.5149.6948.90-------NMTNomBART pre-training transformer, single model
6goku20JPCN2zh-ja2020/09/22 00:09:41410948.4249.5748.78-------NMTNomBART pre-training transformer, ensemble of 3 models
7ryanJPCN2zh-ja2019/07/25 22:13:28295548.2449.2648.66-------NMTNoBase Transformer
8USTCJPCN2zh-ja2018/08/31 17:29:28220747.7249.4548.24----- 0.00 0.00NMTNotensor2tensor, 4 model average, r2l rerank
9EHRJPCN2zh-ja2018/08/31 18:55:04221147.1247.7147.14----- 0.00 0.00NMTNoSMT reranked NMT
10ORGANIZERJPCN2zh-ja2018/08/15 15:01:50194145.3346.0545.49----- 0.00 0.00NMTNoNMT with Attention

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RIBES


# Team Task Date/Time DataID RIBES
Method
Other
Resources
System
Description
juman kytea mecab moses-
tokenizer
stanford-
segmenter-
ctb
stanford-
segmenter-
pku
indic-
tokenizer
unuse myseg kmseg
1KNU_HyundaiJPCN2zh-ja2019/07/27 08:42:2031660.8856710.8835870.885467-------NMTYesTransformer(base) + *Used ASPEC corpus* with relative position, bt, multi source, r2l rerank, 5-model ensemble
2Bering LabJPCN2zh-ja2021/05/04 00:51:3460400.8793040.8770190.879182-------NMTYesTransformer Ensemble with additional crawled parallel corpus
3tpt_watJPCN2zh-ja2021/04/27 01:43:0156910.8696910.8676310.869229-------SMTNoBase Transformer model with shared vocab 8k size
4sarahJPCN2zh-ja2019/07/26 11:32:5129780.8678790.8665280.867707-------NMTNoTransformer, ensemble of 4 models
5goku20JPCN2zh-ja2020/09/21 12:02:2240890.8673750.8653670.867021-------NMTNomBART pre-training transformer, single model
6ryanJPCN2zh-ja2019/07/25 22:13:2829550.8673000.8652560.866945-------NMTNoBase Transformer
7USTCJPCN2zh-ja2018/08/31 17:29:2822070.8668730.8652700.866705-----0.0000000.000000NMTNotensor2tensor, 4 model average, r2l rerank
8goku20JPCN2zh-ja2020/09/22 00:09:4141090.8664030.8647580.866077-------NMTNomBART pre-training transformer, ensemble of 3 models
9EHRJPCN2zh-ja2018/08/31 18:55:0422110.8616970.8592130.861437-----0.0000000.000000NMTNoSMT reranked NMT
10ORGANIZERJPCN2zh-ja2018/08/15 15:01:5019410.8571200.8545930.857052-----0.0000000.000000NMTNoNMT with Attention

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AMFM


# Team Task Date/Time DataID AMFM
Method
Other
Resources
System
Description
unuse unuse unuse unuse unuse unuse unuse unuse unuse unuse
1Bering LabJPCN2zh-ja2021/05/04 00:51:3460400.8945640.8945640.894564-------NMTYesTransformer Ensemble with additional crawled parallel corpus
2tpt_watJPCN2zh-ja2021/04/27 01:43:0156910.8904640.8904640.890464-------SMTNoBase Transformer model with shared vocab 8k size
3ORGANIZERJPCN2zh-ja2018/08/15 15:01:5019410.0000000.0000000.000000-----0.0000000.000000NMTNoNMT with Attention
4USTCJPCN2zh-ja2018/08/31 17:29:2822070.0000000.0000000.000000-----0.0000000.000000NMTNotensor2tensor, 4 model average, r2l rerank
5EHRJPCN2zh-ja2018/08/31 18:55:0422110.0000000.0000000.000000-----0.0000000.000000NMTNoSMT reranked NMT
6ryanJPCN2zh-ja2019/07/25 22:13:2829550.0000000.0000000.000000-------NMTNoBase Transformer
7sarahJPCN2zh-ja2019/07/26 11:32:5129780.0000000.0000000.000000-------NMTNoTransformer, ensemble of 4 models
8KNU_HyundaiJPCN2zh-ja2019/07/27 08:42:2031660.0000000.0000000.000000-------NMTYesTransformer(base) + *Used ASPEC corpus* with relative position, bt, multi source, r2l rerank, 5-model ensemble
9goku20JPCN2zh-ja2020/09/21 12:02:2240890.0000000.0000000.000000-------NMTNomBART pre-training transformer, single model
10goku20JPCN2zh-ja2020/09/22 00:09:4141090.0000000.0000000.000000-------NMTNomBART pre-training transformer, ensemble of 3 models

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HUMAN (WAT2022)


# Team Task Date/Time DataID HUMAN
Method
Other
Resources
System
Description

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HUMAN (WAT2021)


# Team Task Date/Time DataID HUMAN
Method
Other
Resources
System
Description

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HUMAN (WAT2020)


# Team Task Date/Time DataID HUMAN
Method
Other
Resources
System
Description

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HUMAN (WAT2019)


# Team Task Date/Time DataID HUMAN
Method
Other
Resources
System
Description
1sarahJPCN2zh-ja2019/07/26 11:32:512978UnderwayNMTNoTransformer, ensemble of 4 models
2KNU_HyundaiJPCN2zh-ja2019/07/27 08:42:203166UnderwayNMTYesTransformer(base) + *Used ASPEC corpus* with relative position, bt, multi source, r2l rerank, 5-model ensemble

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HUMAN (WAT2018)


# Team Task Date/Time DataID HUMAN
Method
Other
Resources
System
Description

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HUMAN (WAT2017)


# Team Task Date/Time DataID HUMAN
Method
Other
Resources
System
Description

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HUMAN (WAT2016)


# Team Task Date/Time DataID HUMAN
Method
Other
Resources
System
Description

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HUMAN (WAT2015)


# Team Task Date/Time DataID HUMAN
Method
Other
Resources
System
Description

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HUMAN (WAT2014)


# Team Task Date/Time DataID HUMAN
Method
Other
Resources
System
Description

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EVALUATION RESULTS USAGE POLICY

When you use the WAT evaluation results for any purpose such as:
- writing technical papers,
- making presentations about your system,
- advertising your MT system to the customers,
you can use the information about translation directions, scores (including both automatic and human evaluations) and ranks of your system among others. You can also use the scores of the other systems, but you MUST anonymize the other system's names. In addition, you can show the links (URLs) to the WAT evaluation result pages.

NICT (National Institute of Information and Communications Technology)
Kyoto University
Last Modified: 2018-08-02