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WAT

The Workshop on Asian Translation
Evaluation Results

[EVALUATION RESULTS TOP] | [BLEU] | [RIBES] | [AMFM] | [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
1sarahJPCN3zh-ja2019/07/26 11:35:32298124.8025.6024.48-------NMTNoTransformer, ensemble of 4 models
2USTCJPCN3zh-ja2018/08/31 17:35:32220824.5925.6924.32----- 0.00 0.00NMTNotensor2tensor, 4 model average, r2l rerank
3ryanJPCN3zh-ja2019/07/25 22:09:15295220.3521.3620.25-------NMTNoBase Transformer
4EHRJPCN3zh-ja2018/08/31 18:56:18221219.6520.3119.22----- 0.00 0.00NMTNoSMT reranked NMT
5ORGANIZERJPCN3zh-ja2018/08/15 15:03:39194217.2117.8416.79----- 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
1sarahJPCN3zh-ja2019/07/26 11:35:3229810.7680030.7569530.766691-------NMTNoTransformer, ensemble of 4 models
2EHRJPCN3zh-ja2018/08/31 18:56:1822120.7673400.7536750.761913-----0.0000000.000000NMTNoSMT reranked NMT
3USTCJPCN3zh-ja2018/08/31 17:35:3222080.7533360.7433490.750832-----0.0000000.000000NMTNotensor2tensor, 4 model average, r2l rerank
4ryanJPCN3zh-ja2019/07/25 22:09:1529520.7530630.7488330.756047-------NMTNoBase Transformer
5ORGANIZERJPCN3zh-ja2018/08/15 15:03:3919420.7404640.7270690.728976-----0.0000000.000000NMTNoNMT with Attention

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AMFM


# Team Task Date/Time DataID AMFM
Method
Other
Resources
System
Description
juman kytea mecab moses-
tokenizer
stanford-
segmenter-
ctb
stanford-
segmenter-
pku
indic-
tokenizer
unuse myseg kmseg
1ORGANIZERJPCN3zh-ja2018/08/15 15:03:3919420.0000000.0000000.000000-----0.0000000.000000NMTNoNMT with Attention
2USTCJPCN3zh-ja2018/08/31 17:35:3222080.0000000.0000000.000000-----0.0000000.000000NMTNotensor2tensor, 4 model average, r2l rerank
3EHRJPCN3zh-ja2018/08/31 18:56:1822120.0000000.0000000.000000-----0.0000000.000000NMTNoSMT reranked NMT
4ryanJPCN3zh-ja2019/07/25 22:09:1529520.0000000.0000000.000000-------NMTNoBase Transformer
5sarahJPCN3zh-ja2019/07/26 11:35:3229810.0000000.0000000.000000-------NMTNoTransformer, ensemble of 4 models

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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