@inproceedings{parida-etal-2021-nlphuts,
title = "{NLPH}ut{'}s Participation at {WAT}2021",
author = "Parida, Shantipriya and
Panda, Subhadarshi and
Kotwal, Ketan and
Dash, Amulya Ratna and
Dash, Satya Ranjan and
Sharma, Yashvardhan and
Motlicek, Petr and
Bojar, Ond{\v{r}}ej",
booktitle = "Proceedings of the 8th Workshop on Asian Translation (WAT2021)",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.wat-1.16",
doi = "10.18653/v1/2021.wat-1.16",
pages = "146--154",
abstract = "This paper provides the description of shared tasks to the WAT 2021 by our team {``}NLPHut{''}. We have participated in the English→Hindi Multimodal translation task, English→Malayalam Multimodal translation task, and Indic Multi-lingual translation task. We have used the state-of-the-art Transformer model with language tags in different settings for the translation task and proposed a novel {``}region-specific{''} caption generation approach using a combination of image CNN and LSTM for the Hindi and Malayalam image captioning. Our submission tops in English→Malayalam Multimodal translation task (text-only translation, and Malayalam caption), and ranks second-best in English→Hindi Multimodal translation task (text-only translation, and Hindi caption). Our submissions have also performed well in the Indic Multilingual translation tasks.",
}
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<abstract>This paper provides the description of shared tasks to the WAT 2021 by our team “NLPHut”. We have participated in the English→Hindi Multimodal translation task, English→Malayalam Multimodal translation task, and Indic Multi-lingual translation task. We have used the state-of-the-art Transformer model with language tags in different settings for the translation task and proposed a novel “region-specific” caption generation approach using a combination of image CNN and LSTM for the Hindi and Malayalam image captioning. Our submission tops in English→Malayalam Multimodal translation task (text-only translation, and Malayalam caption), and ranks second-best in English→Hindi Multimodal translation task (text-only translation, and Hindi caption). Our submissions have also performed well in the Indic Multilingual translation tasks.</abstract>
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%0 Conference Proceedings
%T NLPHut’s Participation at WAT2021
%A Parida, Shantipriya
%A Panda, Subhadarshi
%A Kotwal, Ketan
%A Dash, Amulya Ratna
%A Dash, Satya Ranjan
%A Sharma, Yashvardhan
%A Motlicek, Petr
%A Bojar, Ondřej
%S Proceedings of the 8th Workshop on Asian Translation (WAT2021)
%D 2021
%8 aug
%I Association for Computational Linguistics
%C Online
%F parida-etal-2021-nlphuts
%X This paper provides the description of shared tasks to the WAT 2021 by our team “NLPHut”. We have participated in the English→Hindi Multimodal translation task, English→Malayalam Multimodal translation task, and Indic Multi-lingual translation task. We have used the state-of-the-art Transformer model with language tags in different settings for the translation task and proposed a novel “region-specific” caption generation approach using a combination of image CNN and LSTM for the Hindi and Malayalam image captioning. Our submission tops in English→Malayalam Multimodal translation task (text-only translation, and Malayalam caption), and ranks second-best in English→Hindi Multimodal translation task (text-only translation, and Hindi caption). Our submissions have also performed well in the Indic Multilingual translation tasks.
%R 10.18653/v1/2021.wat-1.16
%U https://aclanthology.org/2021.wat-1.16
%U https://doi.org/10.18653/v1/2021.wat-1.16
%P 146-154
Markdown (Informal)
[NLPHut’s Participation at WAT2021](https://aclanthology.org/2021.wat-1.16) (Parida et al., WAT 2021)
ACL
- Shantipriya Parida, Subhadarshi Panda, Ketan Kotwal, Amulya Ratna Dash, Satya Ranjan Dash, Yashvardhan Sharma, Petr Motlicek, and Ondřej Bojar. 2021. NLPHut’s Participation at WAT2021. In Proceedings of the 8th Workshop on Asian Translation (WAT2021), pages 146–154, Online. Association for Computational Linguistics.