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2020 AACL AACL 2020

ODIANLP’s Participation in WAT2020

Abstract

AbstractThis paper describes the ODIANLP submission to WAT 2020. We have participated in the English-Hindi Multimodal task and Indic task. We have used the state-of-the-art Transformer model for the translation task and InceptionResNetV2 for the Hindi Image Captioning task. Our submission tops in English->Hindi Multimodal task in its track and Odia<->English translation tasks. Also, our submissions performed well in the Indic Multilingual tasks.

🚀 Conference Pioneer — AACL 2020
🌉 Interdisciplinary Bridge — Computer Vision and Natural Language Processing
🐝 Cross-Pollinator — Artificial Intelligence, Computer Vision, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Speech & Audio
🐣 Hot Topic Early Bird — indic language

Authors

Shantipriya Parida , Petr Motlicek , Amulya Ratna Dash , Satya Ranjan Dash , Debasish Kumar Mallick , Satya Prakash Biswal , Priyanka Pattnaik , Biranchi Narayan Nayak , Ondřej Bojar

Topics

Computer Vision > Generation > Image Captioning Natural Language Processing > Generation > Machine Translation Deep Learning > Models > Transformers

Keywords

machine translation neural machine translation multimodal learning image captioning indic language multimodal translation transformer model
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