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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
1HwTscSUSOFTWAREen-id2022/07/11 13:17:486749---58.80------NMTNoXX to XX transformer model trained on GNOME,KDE4,Ubuntu as well as other data from OPUS and finetune on dev set
2Bering LabSOFTWAREen-id2021/04/18 20:06:595199---53.22------NMTNoTransformer trained on OPUS with GNOME,KDE4,Ubuntu weighted
3sakuraSOFTWAREen-id2021/04/29 12:20:565799---45.39------NMTNoMultilingual finetuning of mBART50 finetuned many-to-many model, ensemble of 3
4NICT-2SOFTWAREen-id2021/05/01 12:12:445902---43.25------NMTYesThe extended mBART model, mixed domain training with domain fine-tuning.
5NICT-2SOFTWAREen-id2021/05/01 11:59:535894---33.47------NMTNoTransformer base model, multilingual + mixed domain training with domain fine-tuning.
6NICT-5SOFTWAREen-id2020/09/18 19:07:043946---32.52------NMTNoXX to XX transformer model trained on ALT as well as KDE, GNOME and Ubuntu data from OPUS. Corpora were size balanced.
7NICT-5SOFTWAREen-id2020/09/18 20:37:433972---31.73------NMTNoXX to XX transformer model trained on ALT as well as KDE, GNOME and Ubuntu data from OPUS. Corpora were size unbalanced.
8ORGANIZERSOFTWAREen-id2020/09/01 15:59:103609---30.11------NMTNoBaseline MLNMT En to XX model using ALT, Ubuntu, GNOME and KDE4 data from opus. Transformer big model. Default settings.
9JBJBJBSOFTWAREen-id2021/05/02 22:59:545977---29.58------NMTYesMBart50 fairseq
10jyjySOFTWAREen-id2021/04/26 16:30:515638--- 0.78------NMTNo

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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 LabSOFTWAREen-id2021/04/18 20:06:595199---0.791609------NMTNoTransformer trained on OPUS with GNOME,KDE4,Ubuntu weighted
2HwTscSUSOFTWAREen-id2022/07/11 13:17:486749---0.784658------NMTNoXX to XX transformer model trained on GNOME,KDE4,Ubuntu as well as other data from OPUS and finetune on dev set
3NICT-2SOFTWAREen-id2021/05/01 12:12:445902---0.767124------NMTYesThe extended mBART model, mixed domain training with domain fine-tuning.
4sakuraSOFTWAREen-id2021/04/29 12:20:565799---0.759304------NMTNoMultilingual finetuning of mBART50 finetuned many-to-many model, ensemble of 3
5NICT-5SOFTWAREen-id2020/09/18 19:07:043946---0.731083------NMTNoXX to XX transformer model trained on ALT as well as KDE, GNOME and Ubuntu data from OPUS. Corpora were size balanced.
6NICT-5SOFTWAREen-id2020/09/18 20:37:433972---0.727480------NMTNoXX to XX transformer model trained on ALT as well as KDE, GNOME and Ubuntu data from OPUS. Corpora were size unbalanced.
7ORGANIZERSOFTWAREen-id2020/09/01 15:59:103609---0.705415------NMTNoBaseline MLNMT En to XX model using ALT, Ubuntu, GNOME and KDE4 data from opus. Transformer big model. Default settings.
8NICT-2SOFTWAREen-id2021/05/01 11:59:535894---0.695869------NMTNoTransformer base model, multilingual + mixed domain training with domain fine-tuning.
9JBJBJBSOFTWAREen-id2021/05/02 22:59:545977---0.672051------NMTYesMBart50 fairseq
10jyjySOFTWAREen-id2021/04/26 16:30:515638---0.103023------NMTNo

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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
1NICT-2SOFTWAREen-id2021/05/01 12:12:445902---0.863589------NMTYesThe extended mBART model, mixed domain training with domain fine-tuning.
2sakuraSOFTWAREen-id2021/04/29 12:20:565799---0.863010------NMTNoMultilingual finetuning of mBART50 finetuned many-to-many model, ensemble of 3
3Bering LabSOFTWAREen-id2021/04/18 20:06:595199---0.854552------NMTNoTransformer trained on OPUS with GNOME,KDE4,Ubuntu weighted
4JBJBJBSOFTWAREen-id2021/05/02 22:59:545977---0.810974------NMTYesMBart50 fairseq
5NICT-2SOFTWAREen-id2021/05/01 11:59:535894---0.808356------NMTNoTransformer base model, multilingual + mixed domain training with domain fine-tuning.
6ORGANIZERSOFTWAREen-id2020/09/01 15:59:103609---0.803113------NMTNoBaseline MLNMT En to XX model using ALT, Ubuntu, GNOME and KDE4 data from opus. Transformer big model. Default settings.
7jyjySOFTWAREen-id2021/04/26 16:30:515638---0.545510------NMTNo
8NICT-5SOFTWAREen-id2020/09/18 19:07:043946---0.000000------NMTNoXX to XX transformer model trained on ALT as well as KDE, GNOME and Ubuntu data from OPUS. Corpora were size balanced.
9NICT-5SOFTWAREen-id2020/09/18 20:37:433972---0.000000------NMTNoXX to XX transformer model trained on ALT as well as KDE, GNOME and Ubuntu data from OPUS. Corpora were size unbalanced.
10HwTscSUSOFTWAREen-id2022/07/11 13:17:486749---0.000000------NMTNoXX to XX transformer model trained on GNOME,KDE4,Ubuntu as well as other data from OPUS and finetune on dev set

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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
1sakuraSOFTWAREen-id2021/04/29 12:20:565799UnderwayNMTNoMultilingual finetuning of mBART50 finetuned many-to-many model, ensemble of 3
2NICT-2SOFTWAREen-id2021/05/01 12:12:445902UnderwayNMTYesThe extended mBART model, mixed domain training with domain fine-tuning.

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HUMAN (WAT2020)


# Team Task Date/Time DataID HUMAN
Method
Other
Resources
System
Description
1NICT-5SOFTWAREen-id2020/09/18 19:07:043946UnderwayNMTNoXX to XX transformer model trained on ALT as well as KDE, GNOME and Ubuntu data from OPUS. Corpora were size balanced.

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HUMAN (WAT2019)


# Team Task Date/Time DataID HUMAN
Method
Other
Resources
System
Description

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HUMAN (WAT2018)


# Team Task Date/Time DataID HUMAN
Method
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Resources
System
Description

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HUMAN (WAT2017)


# Team Task Date/Time DataID HUMAN
Method
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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