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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 - Artificial Intelligence and Computer Vision and Natural Language Processing
🐣 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

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

Keywords

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