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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
1ORGANIZERJPCNen-ja2018/08/16 16:40:36199941.2643.1341.16----- 0.00 0.00NMTNoNMT with Attention
2EHRJPCNen-ja2018/09/08 20:24:32224744.7046.2444.57----- 0.00 0.00NMTNoSMT reranked NMT
3EHRJPCNen-ja2018/09/13 12:49:07228344.7146.1344.63----- 0.00 0.00NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 13)
4EHRJPCNen-ja2018/09/15 15:47:49239445.2746.7045.13----- 0.00 0.00NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 18)
5EHRJPCNen-ja2018/09/16 15:07:27247545.3946.8445.27----- 0.00 0.00NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 20)
6sarahJPCNen-ja2019/07/22 14:59:33280444.1446.2244.32-------NMTNoTransformer, single model
7sarahJPCNen-ja2019/07/25 13:02:06292644.9747.1145.21-------NMTNoTransformer, ensemble of 4 models
8ryanJPCNen-ja2019/07/26 08:51:18296144.2746.0944.37-------NMTNoBase Transformer
9KNU_HyundaiJPCNen-ja2019/07/27 11:59:37318447.1948.9447.29-------NMTNoTransformer Base, relative position, BT, r2l reranking, checkpoint ensemble
10KNU_HyundaiJPCNen-ja2019/07/27 12:48:32319247.3848.9847.44-------NMTYesTransformer Base (+ASPEC data), relative position, BT, r2l reranking, checkpoint ensemble
11goku20JPCNen-ja2020/09/18 17:20:54392245.4347.1245.36-------NMTNoTransformer, ensemble of 3 models
12goku20JPCNen-ja2020/09/18 17:31:17392944.5246.6344.57-------NMTNomBART pre-training, ensemble of 3 models
13TMUJPCNen-ja2021/04/22 07:34:06534745.2447.1245.27-------NMTNoJapanese BART, ensemble of 3 models
14tpt_watJPCNen-ja2021/04/27 02:23:00570546.8348.5246.98-------NMTNoBase Transformer model with joint vocab, size 8k
15Bering LabJPCNen-ja2021/05/04 20:56:31639147.0848.6847.09-------NMTYesTransformer Ensemble with additional crawled parallel corpus

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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
1ORGANIZERJPCNen-ja2018/08/16 16:40:3619990.8401170.8383590.839361-----0.0000000.000000NMTNoNMT with Attention
2EHRJPCNen-ja2018/09/08 20:24:3222470.8550430.8527700.854429-----0.0000000.000000NMTNoSMT reranked NMT
3EHRJPCNen-ja2018/09/13 12:49:0722830.8524840.8506640.852467-----0.0000000.000000NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 13)
4EHRJPCNen-ja2018/09/15 15:47:4923940.8549020.8527460.854868-----0.0000000.000000NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 18)
5EHRJPCNen-ja2018/09/16 15:07:2724750.8548480.8530070.854933-----0.0000000.000000NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 20)
6sarahJPCNen-ja2019/07/22 14:59:3328040.8486810.8480810.848761-------NMTNoTransformer, single model
7sarahJPCNen-ja2019/07/25 13:02:0629260.8520160.8517310.852252-------NMTNoTransformer, ensemble of 4 models
8ryanJPCNen-ja2019/07/26 08:51:1829610.8532870.8527230.853165-------NMTNoBase Transformer
9KNU_HyundaiJPCNen-ja2019/07/27 11:59:3731840.8636390.8625830.863678-------NMTNoTransformer Base, relative position, BT, r2l reranking, checkpoint ensemble
10KNU_HyundaiJPCNen-ja2019/07/27 12:48:3231920.8664020.8653160.866282-------NMTYesTransformer Base (+ASPEC data), relative position, BT, r2l reranking, checkpoint ensemble
11goku20JPCNen-ja2020/09/18 17:20:5439220.8556460.8551960.855529-------NMTNoTransformer, ensemble of 3 models
12goku20JPCNen-ja2020/09/18 17:31:1739290.8554540.8541730.855317-------NMTNomBART pre-training, ensemble of 3 models
13TMUJPCNen-ja2021/04/22 07:34:0653470.8545580.8533350.854298-------NMTNoJapanese BART, ensemble of 3 models
14tpt_watJPCNen-ja2021/04/27 02:23:0057050.8638370.8624810.863497-------NMTNoBase Transformer model with joint vocab, size 8k
15Bering LabJPCNen-ja2021/05/04 20:56:3163910.8669670.8657390.866656-------NMTYesTransformer Ensemble with additional crawled parallel corpus

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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
1ORGANIZERJPCNen-ja2018/08/16 16:40:3619990.0000000.0000000.000000-----0.0000000.000000NMTNoNMT with Attention
2EHRJPCNen-ja2018/09/08 20:24:3222470.0000000.0000000.000000-----0.0000000.000000NMTNoSMT reranked NMT
3EHRJPCNen-ja2018/09/13 12:49:0722830.0000000.0000000.000000-----0.0000000.000000NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 13)
4EHRJPCNen-ja2018/09/15 15:47:4923940.0000000.0000000.000000-----0.0000000.000000NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 18)
5EHRJPCNen-ja2018/09/16 15:07:2724750.0000000.0000000.000000-----0.0000000.000000NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 20)
6sarahJPCNen-ja2019/07/22 14:59:3328040.0000000.0000000.000000-------NMTNoTransformer, single model
7sarahJPCNen-ja2019/07/25 13:02:0629260.0000000.0000000.000000-------NMTNoTransformer, ensemble of 4 models
8ryanJPCNen-ja2019/07/26 08:51:1829610.0000000.0000000.000000-------NMTNoBase Transformer
9KNU_HyundaiJPCNen-ja2019/07/27 11:59:3731840.0000000.0000000.000000-------NMTNoTransformer Base, relative position, BT, r2l reranking, checkpoint ensemble
10KNU_HyundaiJPCNen-ja2019/07/27 12:48:3231920.0000000.0000000.000000-------NMTYesTransformer Base (+ASPEC data), relative position, BT, r2l reranking, checkpoint ensemble
11goku20JPCNen-ja2020/09/18 17:20:5439220.0000000.0000000.000000-------NMTNoTransformer, ensemble of 3 models
12goku20JPCNen-ja2020/09/18 17:31:1739290.0000000.0000000.000000-------NMTNomBART pre-training, ensemble of 3 models
13TMUJPCNen-ja2021/04/22 07:34:0653470.8763230.8763230.876323-------NMTNoJapanese BART, ensemble of 3 models
14tpt_watJPCNen-ja2021/04/27 02:23:0057050.8784510.8784510.878451-------NMTNoBase Transformer model with joint vocab, size 8k
15Bering LabJPCNen-ja2021/05/04 20:56:3163910.8801420.8801420.880142-------NMTYesTransformer Ensemble with additional crawled parallel corpus

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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
1TMUJPCNen-ja2021/04/22 07:34:065347UnderwayNMTNoJapanese BART, ensemble of 3 models

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HUMAN (WAT2020)


# Team Task Date/Time DataID HUMAN
Method
Other
Resources
System
Description
1goku20JPCNen-ja2020/09/18 17:31:1739294.420NMTNomBART pre-training, ensemble of 3 models

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HUMAN (WAT2019)


# Team Task Date/Time DataID HUMAN
Method
Other
Resources
System
Description
1sarahJPCNen-ja2019/07/25 13:02:062926UnderwayNMTNoTransformer, ensemble of 4 models
2KNU_HyundaiJPCNen-ja2019/07/27 11:59:373184UnderwayNMTNoTransformer Base, relative position, BT, r2l reranking, checkpoint ensemble
3KNU_HyundaiJPCNen-ja2019/07/27 12:48:323192UnderwayNMTYesTransformer 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