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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
1KNU_HyundaiJPCN2ja-zh2019/07/27 08:39:213165-44.09--45.2344.68----NMTYesTransformer(base) + *Used ASPEC corpus* with relative position, bt, r2l rerank, 4-model ensemble(9-check point)
2sarahJPCN2ja-zh2019/07/26 11:40:152983-42.23--43.1942.98----NMTNoTransformer, ensemble of 4 models
3ryanJPCN2ja-zh2019/07/25 22:06:172951-41.68--42.6342.26----NMTNoBase Transformer
4USTCJPCN2ja-zh2018/08/31 17:00:532203-39.91--40.5340.32-- 0.00 0.00NMTNotensor2tensor, 4 model average, r2l rerank
5ORGANIZERJPCN2ja-zh2018/08/15 18:23:171961-39.14--40.2839.77-- 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_HyundaiJPCN2ja-zh2019/07/27 08:39:213165-0.869556--0.8741400.872997----NMTYesTransformer(base) + *Used ASPEC corpus* with relative position, bt, r2l rerank, 4-model ensemble(9-check point)
2ryanJPCN2ja-zh2019/07/25 22:06:172951-0.857546--0.8625990.861150----NMTNoBase Transformer
3sarahJPCN2ja-zh2019/07/26 11:40:152983-0.854775--0.8608370.859031----NMTNoTransformer, ensemble of 4 models
4USTCJPCN2ja-zh2018/08/31 17:00:532203-0.853978--0.8593300.857456--0.0000000.000000NMTNotensor2tensor, 4 model average, r2l rerank
5ORGANIZERJPCN2ja-zh2018/08/15 18:23:171961-0.847486--0.8521610.850707--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
1ORGANIZERJPCN2ja-zh2018/08/15 18:23:171961-0.000000--0.0000000.000000--0.0000000.000000NMTNoNMT with Attention
2USTCJPCN2ja-zh2018/08/31 17:00:532203-0.000000--0.0000000.000000--0.0000000.000000NMTNotensor2tensor, 4 model average, r2l rerank
3ryanJPCN2ja-zh2019/07/25 22:06:172951-0.000000--0.0000000.000000----NMTNoBase Transformer
4sarahJPCN2ja-zh2019/07/26 11:40:152983-0.000000--0.0000000.000000----NMTNoTransformer, ensemble of 4 models
5KNU_HyundaiJPCN2ja-zh2019/07/27 08:39:213165-0.000000--0.0000000.000000----NMTYesTransformer(base) + *Used ASPEC corpus* with relative position, bt, r2l rerank, 4-model ensemble(9-check point)

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HUMAN (WAT2019)


# Team Task Date/Time DataID HUMAN
Method
Other
Resources
System
Description
1sarahJPCN2ja-zh2019/07/26 11:40:152983UnderwayNMTNoTransformer, ensemble of 4 models
2KNU_HyundaiJPCN2ja-zh2019/07/27 08:39:213165UnderwayNMTYesTransformer(base) + *Used ASPEC corpus* with relative position, bt, r2l rerank, 4-model ensemble(9-check point)

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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