After three successive event of “WAT 2019, WAT2020 and WAT2021 English-Hindi Multimodal Translation Task”, the Workshop on Asian Translation 2022 (WAT2022) will continue the task of multimodal English-to-Hindi translation which is the first multimodal translation task for any Indian language. The task relies on our “Hindi Visual Genome”, a multimodal dataset consisting of text and images suitable for English-Hindi multimodal machine translation task and multimodal research.
The setup of the WAT2022 task is as follows:
The setup of the WAT2022 task is as follows:
The Hindi Visual Genome consists of:
WAT2022 Multi-Modal Task will be evaluated on:
Means of evaluation:
Participants of the task need to indicate which track their translations belong to:
The system description should be a short report (4 to 6 pages) submitted to WAT 2022 describing the method(s).
Each participating team can submit at most 2 systems for each of the task (e.g. Text-only, Hindi-only image captioning, multimodal translation using text and image). Please submit through the submission link available in the WAT2022 website and select the task for submission.
Please refer to the below papers:
[paper] : https://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/3294
[arxiv] : https://arxiv.org/abs/1907.08948
[WAT 2021 Proceedings] : https://www.aclweb.org/anthology/2021.wat-1.0/
[WAT 2020 Proceedings] : https://www.aclweb.org/anthology/2020.wat-1.0/
[WAT 2019 Proceedings] : https://www.aclweb.org/anthology/D19-5200/
[Reference Papers]
Improved English to Hindi Multimodal Neural Machine Translation
IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task
ViTA: Visual-Linguistic Translation by Aligning Object Tags
NLPHut’s Participation at WAT2021
ODIANLP’s Participation in WAT2020
Multimodal Neural Machine Translation for English to Hindi
Idiap NMT System for WAT 2019 Multimodal Translation Task
English to Hindi Multi-modal Neural Machine Translation and Hindi Image Captioning
WAT2019: English-Hindi Translation on Hindi Visual Genome Dataset
email: wat-multimodal-task@ufal.mff.cuni.cz
The data is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International.
This shared task is supported by the below projects/grants from Charles University (Czech Republic).