@inproceedings{singh-anand-etal-2024-empowering,
title = "Empowering Low-Resource Language Translation: Methodologies for {B}hojpuri-{H}indi and {M}arathi-{H}indi {ASR} and {MT}",
author = "Singh Anand, Harpreet and
Ratna Dash, Amulya and
Sharma, Yashvardhan",
editor = "Salesky, Elizabeth and
Federico, Marcello and
Carpuat, Marine",
booktitle = "Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)",
month = aug,
year = "2024",
address = "Bangkok, Thailand (in-person and online)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.iwslt-1.28",
doi = "10.18653/v1/2024.iwslt-1.28",
pages = "229--234",
abstract = "The paper describes our submission for the unconstrained track of {`}Dialectal and Low-Resource Task{'} proposed in IWSLT-2024. We designed cascaded Speech Translation systems for the language pairs Marathi-Hindi and Bhojpuri-Hindi utilising and fine-tuning different pre-trained models for carrying out Automatic Speech Recognition (ASR) and Machine Translation (MT).",
}
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%0 Conference Proceedings
%T Empowering Low-Resource Language Translation: Methodologies for Bhojpuri-Hindi and Marathi-Hindi ASR and MT
%A Singh Anand, Harpreet
%A Ratna Dash, Amulya
%A Sharma, Yashvardhan
%Y Salesky, Elizabeth
%Y Federico, Marcello
%Y Carpuat, Marine
%S Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)
%D 2024
%8 August
%I Association for Computational Linguistics
%C Bangkok, Thailand (in-person and online)
%F singh-anand-etal-2024-empowering
%X The paper describes our submission for the unconstrained track of ‘Dialectal and Low-Resource Task’ proposed in IWSLT-2024. We designed cascaded Speech Translation systems for the language pairs Marathi-Hindi and Bhojpuri-Hindi utilising and fine-tuning different pre-trained models for carrying out Automatic Speech Recognition (ASR) and Machine Translation (MT).
%R 10.18653/v1/2024.iwslt-1.28
%U https://aclanthology.org/2024.iwslt-1.28
%U https://doi.org/10.18653/v1/2024.iwslt-1.28
%P 229-234
Markdown (Informal)
[Empowering Low-Resource Language Translation: Methodologies for Bhojpuri-Hindi and Marathi-Hindi ASR and MT](https://aclanthology.org/2024.iwslt-1.28) (Singh Anand et al., IWSLT 2024)
ACL