@inproceedings{parida-etal-2024-odiagenais,
title = "{O}dia{G}en{AI}{'}s Participation in {WMT}2024 {E}nglish-to-Low Resource Multimodal Translation Task",
author = "Parida, Shantipriya and
Sahoo, Shashikanta and
Sekhar, Sambit and
Jena, Upendra and
Jena, Sushovan and
Lata, Kusum",
editor = "Haddow, Barry and
Kocmi, Tom and
Koehn, Philipp and
Monz, Christof",
booktitle = "Proceedings of the Ninth Conference on Machine Translation",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.wmt-1.77",
pages = "823--828",
abstract = "This paper covers the system description of the team {``}ODIAGEN{'}s{''} submission to the WMT{\textasciitilde}2024 English-to-Low-Resource Multimodal Translation Task. We participated in the English-to-Low Resource Multimodal Translation Task, in two of the tasks, i.e. Text-only Translation and Multi-modal Translation. For Text-only Translation, we trained the Mistral-7B model for English to Multi-lingual (Hindi, Bengali, Malayalam, Hausa). For Multi-modal Translation (using both image and text), we trained the PaliGemma-3B model for English to Hindi translation.",
}
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<abstract>This paper covers the system description of the team “ODIAGEN’s” submission to the WMT~2024 English-to-Low-Resource Multimodal Translation Task. We participated in the English-to-Low Resource Multimodal Translation Task, in two of the tasks, i.e. Text-only Translation and Multi-modal Translation. For Text-only Translation, we trained the Mistral-7B model for English to Multi-lingual (Hindi, Bengali, Malayalam, Hausa). For Multi-modal Translation (using both image and text), we trained the PaliGemma-3B model for English to Hindi translation.</abstract>
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%0 Conference Proceedings
%T OdiaGenAI’s Participation in WMT2024 English-to-Low Resource Multimodal Translation Task
%A Parida, Shantipriya
%A Sahoo, Shashikanta
%A Sekhar, Sambit
%A Jena, Upendra
%A Jena, Sushovan
%A Lata, Kusum
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Koehn, Philipp
%Y Monz, Christof
%S Proceedings of the Ninth Conference on Machine Translation
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F parida-etal-2024-odiagenais
%X This paper covers the system description of the team “ODIAGEN’s” submission to the WMT~2024 English-to-Low-Resource Multimodal Translation Task. We participated in the English-to-Low Resource Multimodal Translation Task, in two of the tasks, i.e. Text-only Translation and Multi-modal Translation. For Text-only Translation, we trained the Mistral-7B model for English to Multi-lingual (Hindi, Bengali, Malayalam, Hausa). For Multi-modal Translation (using both image and text), we trained the PaliGemma-3B model for English to Hindi translation.
%U https://aclanthology.org/2024.wmt-1.77
%P 823-828
Markdown (Informal)
[OdiaGenAI’s Participation in WMT2024 English-to-Low Resource Multimodal Translation Task](https://aclanthology.org/2024.wmt-1.77) (Parida et al., WMT 2024)
ACL