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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_HyundaiJPCN3en-ja2019/07/27 12:53:49319554.8456.0655.06-------NMTYesTransformer Base (+ASPEC data), relative position, BT, r2l reranking, checkpoint ensemble
2KNU_HyundaiJPCN3en-ja2019/07/27 12:09:01318753.2854.5253.56-------NMTNoTransformer Base, relative position, BT, r2l reranking, checkpoint ensemble
3EHRJPCN3en-ja2018/09/16 15:12:04247851.4253.0651.74----- 0.00 0.00NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 20)
4EHRJPCN3en-ja2018/09/15 15:55:42239751.1752.7951.48----- 0.00 0.00NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 18)
5EHRJPCN3en-ja2018/09/08 20:37:52225050.7552.4350.86----- 0.00 0.00NMTNoSMT reranked NMT
6EHRJPCN3en-ja2018/09/13 12:53:28228650.0451.8150.33----- 0.00 0.00NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 13)
7sarahJPCN3en-ja2019/07/26 11:26:55297549.5751.1249.85-------NMTNoTransformer, ensemble of 4 models
8ORGANIZERJPCN3en-ja2018/08/15 12:49:22193745.7547.5545.87----- 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_HyundaiJPCN3en-ja2019/07/27 12:53:4931950.8835230.8815590.883160-------NMTYesTransformer Base (+ASPEC data), relative position, BT, r2l reranking, checkpoint ensemble
2KNU_HyundaiJPCN3en-ja2019/07/27 12:09:0131870.8787020.8771090.878338-------NMTNoTransformer Base, relative position, BT, r2l reranking, checkpoint ensemble
3EHRJPCN3en-ja2018/09/08 20:37:5222500.8698630.8686360.869047-----0.0000000.000000NMTNoSMT reranked NMT
4EHRJPCN3en-ja2018/09/13 12:53:2822860.8648630.8626490.864034-----0.0000000.000000NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 13)
5EHRJPCN3en-ja2018/09/16 15:12:0424780.8644930.8638060.864485-----0.0000000.000000NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 20)
6EHRJPCN3en-ja2018/09/15 15:55:4223970.8642360.8632300.864157-----0.0000000.000000NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 18)
7sarahJPCN3en-ja2019/07/26 11:26:5529750.8603500.8597350.859644-------NMTNoTransformer, ensemble of 4 models
8ORGANIZERJPCN3en-ja2018/08/15 12:49:2219370.8438370.8438850.843641-----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
1ORGANIZERJPCN3en-ja2018/08/15 12:49:2219370.0000000.0000000.000000-----0.0000000.000000NMTNoNMT with Attention
2EHRJPCN3en-ja2018/09/08 20:37:5222500.0000000.0000000.000000-----0.0000000.000000NMTNoSMT reranked NMT
3EHRJPCN3en-ja2018/09/13 12:53:2822860.0000000.0000000.000000-----0.0000000.000000NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 13)
4EHRJPCN3en-ja2018/09/15 15:55:4223970.0000000.0000000.000000-----0.0000000.000000NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 18)
5EHRJPCN3en-ja2018/09/16 15:12:0424780.0000000.0000000.000000-----0.0000000.000000NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 20)
6sarahJPCN3en-ja2019/07/26 11:26:5529750.0000000.0000000.000000-------NMTNoTransformer, ensemble of 4 models
7KNU_HyundaiJPCN3en-ja2019/07/27 12:09:0131870.0000000.0000000.000000-------NMTNoTransformer Base, relative position, BT, r2l reranking, checkpoint ensemble
8KNU_HyundaiJPCN3en-ja2019/07/27 12:53:4931950.0000000.0000000.000000-------NMTYesTransformer Base (+ASPEC data), relative position, BT, r2l reranking, checkpoint ensemble

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HUMAN (WAT2019)


# Team Task Date/Time DataID HUMAN
Method
Other
Resources
System
Description
1sarahJPCN3en-ja2019/07/26 11:26:552975UnderwayNMTNoTransformer, ensemble of 4 models
2KNU_HyundaiJPCN3en-ja2019/07/27 12:09:013187UnderwayNMTNoTransformer Base, relative position, BT, r2l reranking, checkpoint ensemble
3KNU_HyundaiJPCN3en-ja2019/07/27 12:53:493195UnderwayNMTYesTransformer Base (+ASPEC data), relative position, BT, r2l reranking, checkpoint 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