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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
1KNU_HyundaiJPCNen-ja2019/07/27 12:48:32319247.3848.9847.44-------NMTYesTransformer Base (+ASPEC data), relative position, BT, r2l reranking, checkpoint ensemble
2KNU_HyundaiJPCNen-ja2019/07/27 11:59:37318447.1948.9447.29-------NMTNoTransformer Base, relative position, BT, r2l reranking, checkpoint ensemble
3Bering LabJPCNen-ja2021/05/04 20:56:31639147.0848.6847.09-------NMTYesTransformer Ensemble with additional crawled parallel corpus
4tpt_watJPCNen-ja2021/04/27 02:23:00570546.8348.5246.98-------NMTNoBase Transformer model with joint vocab, size 8k
5goku20JPCNen-ja2020/09/18 17:20:54392245.4347.1245.36-------NMTNoTransformer, ensemble of 3 models
6EHRJPCNen-ja2018/09/16 15:07:27247545.3946.8445.27----- 0.00 0.00NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 20)
7EHRJPCNen-ja2018/09/15 15:47:49239445.2746.7045.13----- 0.00 0.00NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 18)
8TMUJPCNen-ja2021/04/22 07:34:06534745.2447.1245.27-------NMTNoJapanese BART, ensemble of 3 models
9sarahJPCNen-ja2019/07/25 13:02:06292644.9747.1145.21-------NMTNoTransformer, ensemble of 4 models
10EHRJPCNen-ja2018/09/13 12:49:07228344.7146.1344.63----- 0.00 0.00NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 13)
11EHRJPCNen-ja2018/09/08 20:24:32224744.7046.2444.57----- 0.00 0.00NMTNoSMT reranked NMT
12goku20JPCNen-ja2020/09/18 17:31:17392944.5246.6344.57-------NMTNomBART pre-training, ensemble of 3 models
13ryanJPCNen-ja2019/07/26 08:51:18296144.2746.0944.37-------NMTNoBase Transformer
14sarahJPCNen-ja2019/07/22 14:59:33280444.1446.2244.32-------NMTNoTransformer, single model
15ORGANIZERJPCNen-ja2018/08/16 16:40:36199941.2643.1341.16----- 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
1Bering LabJPCNen-ja2021/05/04 20:56:3163910.8669670.8657390.866656-------NMTYesTransformer Ensemble with additional crawled parallel corpus
2KNU_HyundaiJPCNen-ja2019/07/27 12:48:3231920.8664020.8653160.866282-------NMTYesTransformer Base (+ASPEC data), relative position, BT, r2l reranking, checkpoint ensemble
3tpt_watJPCNen-ja2021/04/27 02:23:0057050.8638370.8624810.863497-------NMTNoBase Transformer model with joint vocab, size 8k
4KNU_HyundaiJPCNen-ja2019/07/27 11:59:3731840.8636390.8625830.863678-------NMTNoTransformer Base, relative position, BT, r2l reranking, checkpoint ensemble
5goku20JPCNen-ja2020/09/18 17:20:5439220.8556460.8551960.855529-------NMTNoTransformer, ensemble of 3 models
6goku20JPCNen-ja2020/09/18 17:31:1739290.8554540.8541730.855317-------NMTNomBART pre-training, ensemble of 3 models
7EHRJPCNen-ja2018/09/08 20:24:3222470.8550430.8527700.854429-----0.0000000.000000NMTNoSMT reranked NMT
8EHRJPCNen-ja2018/09/15 15:47:4923940.8549020.8527460.854868-----0.0000000.000000NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 18)
9EHRJPCNen-ja2018/09/16 15:07:2724750.8548480.8530070.854933-----0.0000000.000000NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 20)
10TMUJPCNen-ja2021/04/22 07:34:0653470.8545580.8533350.854298-------NMTNoJapanese BART, ensemble of 3 models
11ryanJPCNen-ja2019/07/26 08:51:1829610.8532870.8527230.853165-------NMTNoBase Transformer
12EHRJPCNen-ja2018/09/13 12:49:0722830.8524840.8506640.852467-----0.0000000.000000NMTYesSMT reranked NMT (4M traning data from WAT and NTCIR, Epoch 13)
13sarahJPCNen-ja2019/07/25 13:02:0629260.8520160.8517310.852252-------NMTNoTransformer, ensemble of 4 models
14sarahJPCNen-ja2019/07/22 14:59:3328040.8486810.8480810.848761-------NMTNoTransformer, single model
15ORGANIZERJPCNen-ja2018/08/16 16:40:3619990.8401170.8383590.839361-----0.0000000.000000NMTNoNMT with Attention

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

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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