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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
1ryanJPCN3zh-ja2019/07/25 22:09:15295220.3521.3620.25-------NMTNoBase Transformer
2sarahJPCN3zh-ja2019/07/26 11:35:32298124.8025.6024.48-------NMTNoTransformer, ensemble of 4 models
3goku20JPCN3zh-ja2020/09/21 12:24:37409940.7540.5640.23-------NMTNomBART pre-training transformer, single model
4goku20JPCN3zh-ja2020/09/22 00:16:13411440.6940.3540.18-------NMTNomBART pre-training transformer, ensemble of 3 models
5tpt_watJPCN3zh-ja2021/04/27 01:45:05569216.6317.9816.76-------NMTNoBase Transformer model with shared vocab 8k size
6Bering LabJPCN3zh-ja2021/05/04 10:55:07619822.4423.2622.31-------NMTYesTransformer Ensemble with additional crawled parallel corpus
7ORGANIZERJPCN3zh-ja2018/08/15 15:03:39194217.2117.8416.79----- 0.00 0.00NMTNoNMT with Attention
8USTCJPCN3zh-ja2018/08/31 17:35:32220824.5925.6924.32----- 0.00 0.00NMTNotensor2tensor, 4 model average, r2l rerank
9EHRJPCN3zh-ja2018/08/31 18:56:18221219.6520.3119.22----- 0.00 0.00NMTNoSMT reranked NMT

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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
1ryanJPCN3zh-ja2019/07/25 22:09:1529520.7530630.7488330.756047-------NMTNoBase Transformer
2sarahJPCN3zh-ja2019/07/26 11:35:3229810.7680030.7569530.766691-------NMTNoTransformer, ensemble of 4 models
3goku20JPCN3zh-ja2020/09/21 12:24:3740990.7578960.7536050.758965-------NMTNomBART pre-training transformer, single model
4goku20JPCN3zh-ja2020/09/22 00:16:1341140.7631280.7546700.762094-------NMTNomBART pre-training transformer, ensemble of 3 models
5tpt_watJPCN3zh-ja2021/04/27 01:45:0556920.7336750.7250620.731410-------NMTNoBase Transformer model with shared vocab 8k size
6Bering LabJPCN3zh-ja2021/05/04 10:55:0761980.7770640.7623610.775387-------NMTYesTransformer Ensemble with additional crawled parallel corpus
7ORGANIZERJPCN3zh-ja2018/08/15 15:03:3919420.7404640.7270690.728976-----0.0000000.000000NMTNoNMT with Attention
8USTCJPCN3zh-ja2018/08/31 17:35:3222080.7533360.7433490.750832-----0.0000000.000000NMTNotensor2tensor, 4 model average, r2l rerank
9EHRJPCN3zh-ja2018/08/31 18:56:1822120.7673400.7536750.761913-----0.0000000.000000NMTNoSMT reranked NMT

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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
1ryanJPCN3zh-ja2019/07/25 22:09:1529520.0000000.0000000.000000-------NMTNoBase Transformer
2sarahJPCN3zh-ja2019/07/26 11:35:3229810.0000000.0000000.000000-------NMTNoTransformer, ensemble of 4 models
3goku20JPCN3zh-ja2020/09/21 12:24:3740990.0000000.0000000.000000-------NMTNomBART pre-training transformer, single model
4goku20JPCN3zh-ja2020/09/22 00:16:1341140.0000000.0000000.000000-------NMTNomBART pre-training transformer, ensemble of 3 models
5tpt_watJPCN3zh-ja2021/04/27 01:45:0556920.9553580.9553580.955358-------NMTNoBase Transformer model with shared vocab 8k size
6Bering LabJPCN3zh-ja2021/05/04 10:55:0761980.9619690.9619690.961969-------NMTYesTransformer Ensemble with additional crawled parallel corpus
7ORGANIZERJPCN3zh-ja2018/08/15 15:03:3919420.0000000.0000000.000000-----0.0000000.000000NMTNoNMT with Attention
8USTCJPCN3zh-ja2018/08/31 17:35:3222080.0000000.0000000.000000-----0.0000000.000000NMTNotensor2tensor, 4 model average, r2l rerank
9EHRJPCN3zh-ja2018/08/31 18:56:1822120.0000000.0000000.000000-----0.0000000.000000NMTNoSMT reranked NMT

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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
1sarahJPCN3zh-ja2019/07/26 11:35:322981UnderwayNMTNoTransformer, ensemble of 4 models

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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