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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
1ORGANIZERINDICbn-en2018/08/20 11:09:172002---15.99---- 0.00 0.00NMTNoNMT with Attention
2NICT-5INDICbn-en2018/08/22 19:03:012060---19.17---- 0.00 0.00NMTNoBilingual transformer model
3NICT-5INDICbn-en2018/08/22 19:05:382063---18.03---- 0.00 0.00NMTNoXX-En transformer model
4ORGANIZERINDICbn-en2018/08/24 14:34:362098---16.62---- 0.00 0.00NMTNomulti2one multilingual NMT with Attention
5NICT-5INDICbn-en2018/08/24 14:58:302126---16.68---- 0.00 0.00NMTNoXX-XX transformer model
6ORGANIZERINDICbn-en2018/08/29 14:11:092187---15.91---- 0.00 0.00NMTNomulti2multi multilingual NMT with Attention
7NICT-5INDICbn-en2018/09/07 14:27:152237---18.82---- 0.00 0.00NMTNoUnified Source vocabulary by orthography mapping. XX-EN model.
8IITP-MTINDICbn-en2018/09/14 19:45:112346---20.05---- 0.00 0.00NMTNoTransformer multilingual XX-En
9RGNLPINDICbn-en2018/09/15 02:21:512366---11.58---- 0.00 0.00SMTNoSMT system with KENLM Language model
10RGNLPINDICbn-en2018/09/15 02:47:142373---11.07---- 0.00 0.00SMTNoSMT system with SRILM Language model
11RGNLPINDICbn-en2018/09/15 03:06:072380---12.19---- 0.00 0.00NMTNoNMT system with a 2-layer LSTM method
12AnuvaadINDICbn-en2018/09/15 18:00:102405---13.98---- 0.00 0.00SMTNoSMT XX-En
13AnuvaadINDICbn-en2018/09/15 20:08:072420---14.17---- 0.00 0.00SMTNoSMT with KenLM
14cvitINDICbn-en2019/03/14 21:47:232615---17.35---- 0.00 0.00NMTYesmassive-multi
15cvitINDICbn-en2019/03/14 21:57:232622---19.58---- 0.00 0.00NMTYesmassive-multi + ft
16cvitINDICbn-en2019/03/22 05:26:032649---18.53---- 0.00 0.00NMTNomany to en (Transformer)
17cvitINDICbn-en2019/03/22 05:41:562653---18.99---- 0.00 0.00NMTNomay to en (Transformer) - detokenized
18cvitINDICbn-en2019/03/23 12:36:322660---20.19---- 0.00 0.00NMTYes

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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
1ORGANIZERINDICbn-en2018/08/20 11:09:172002---0.725286----0.0000000.000000NMTNoNMT with Attention
2NICT-5INDICbn-en2018/08/22 19:03:012060---0.738440----0.0000000.000000NMTNoBilingual transformer model
3NICT-5INDICbn-en2018/08/22 19:05:382063---0.742534----0.0000000.000000NMTNoXX-En transformer model
4ORGANIZERINDICbn-en2018/08/24 14:34:362098---0.729427----0.0000000.000000NMTNomulti2one multilingual NMT with Attention
5NICT-5INDICbn-en2018/08/24 14:58:302126---0.739000----0.0000000.000000NMTNoXX-XX transformer model
6ORGANIZERINDICbn-en2018/08/29 14:11:092187---0.727120----0.0000000.000000NMTNomulti2multi multilingual NMT with Attention
7NICT-5INDICbn-en2018/09/07 14:27:152237---0.747661----0.0000000.000000NMTNoUnified Source vocabulary by orthography mapping. XX-EN model.
8IITP-MTINDICbn-en2018/09/14 19:45:112346---0.742869----0.0000000.000000NMTNoTransformer multilingual XX-En
9RGNLPINDICbn-en2018/09/15 02:21:512366---0.663523----0.0000000.000000SMTNoSMT system with KENLM Language model
10RGNLPINDICbn-en2018/09/15 02:47:142373---0.661561----0.0000000.000000SMTNoSMT system with SRILM Language model
11RGNLPINDICbn-en2018/09/15 03:06:072380---0.704033----0.0000000.000000NMTNoNMT system with a 2-layer LSTM method
12AnuvaadINDICbn-en2018/09/15 18:00:102405---0.669154----0.0000000.000000SMTNoSMT XX-En
13AnuvaadINDICbn-en2018/09/15 20:08:072420---0.689672----0.0000000.000000SMTNoSMT with KenLM
14cvitINDICbn-en2019/03/14 21:47:232615---0.739462----0.0000000.000000NMTYesmassive-multi
15cvitINDICbn-en2019/03/14 21:57:232622---0.759214----0.0000000.000000NMTYesmassive-multi + ft
16cvitINDICbn-en2019/03/22 05:26:032649---0.747374----0.0000000.000000NMTNomany to en (Transformer)
17cvitINDICbn-en2019/03/22 05:41:562653---0.756935----0.0000000.000000NMTNomay to en (Transformer) - detokenized
18cvitINDICbn-en2019/03/23 12:36:322660---0.759463----0.0000000.000000NMTYes

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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
1ORGANIZERINDICbn-en2018/08/20 11:09:172002---0.483240----0.0000000.000000NMTNoNMT with Attention
2NICT-5INDICbn-en2018/08/22 19:03:012060---0.516930----0.0000000.000000NMTNoBilingual transformer model
3NICT-5INDICbn-en2018/08/22 19:05:382063---0.501980----0.0000000.000000NMTNoXX-En transformer model
4ORGANIZERINDICbn-en2018/08/24 14:34:362098---0.491570----0.0000000.000000NMTNomulti2one multilingual NMT with Attention
5NICT-5INDICbn-en2018/08/24 14:58:302126---0.504860----0.0000000.000000NMTNoXX-XX transformer model
6ORGANIZERINDICbn-en2018/08/29 14:11:092187---0.498530----0.0000000.000000NMTNomulti2multi multilingual NMT with Attention
7NICT-5INDICbn-en2018/09/07 14:27:152237---0.512160----0.0000000.000000NMTNoUnified Source vocabulary by orthography mapping. XX-EN model.
8IITP-MTINDICbn-en2018/09/14 19:45:112346---0.523800----0.0000000.000000NMTNoTransformer multilingual XX-En
9RGNLPINDICbn-en2018/09/15 02:21:512366---0.477770----0.0000000.000000SMTNoSMT system with KENLM Language model
10RGNLPINDICbn-en2018/09/15 02:47:142373---0.482310----0.0000000.000000SMTNoSMT system with SRILM Language model
11RGNLPINDICbn-en2018/09/15 03:06:072380---0.482010----0.0000000.000000NMTNoNMT system with a 2-layer LSTM method
12AnuvaadINDICbn-en2018/09/15 18:00:102405---0.447900----0.0000000.000000SMTNoSMT XX-En
13AnuvaadINDICbn-en2018/09/15 20:08:072420---0.454990----0.0000000.000000SMTNoSMT with KenLM
14cvitINDICbn-en2019/03/14 21:47:232615---0.510210----0.0000000.000000NMTYesmassive-multi
15cvitINDICbn-en2019/03/14 21:57:232622---0.529720----0.0000000.000000NMTYesmassive-multi + ft
16cvitINDICbn-en2019/03/22 05:26:032649---0.524490----0.0000000.000000NMTNomany to en (Transformer)
17cvitINDICbn-en2019/03/22 05:41:562653---0.524490----0.0000000.000000NMTNomay to en (Transformer) - detokenized
18cvitINDICbn-en2019/03/23 12:36:322660---0.527580----0.0000000.000000NMTYes

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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

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HUMAN (WAT2020)


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

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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
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