Empowering Low-Resource Language Translation: Methodologies for Bhojpuri-Hindi and Marathi-Hindi ASR and MT

Harpreet Singh Anand, Amulya Ratna Dash, Yashvardhan Sharma


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).
Anthology ID:
2024.iwslt-1.28
Volume:
Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)
Month:
August
Year:
2024
Address:
Bangkok, Thailand (in-person and online)
Editors:
Elizabeth Salesky, Marcello Federico, Marine Carpuat
Venue:
IWSLT
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
229–234
Language:
URL:
https://aclanthology.org/2024.iwslt-1.28
DOI:
Bibkey:
Cite (ACL):
Harpreet Singh Anand, Amulya Ratna Dash, and Yashvardhan Sharma. 2024. Empowering Low-Resource Language Translation: Methodologies for Bhojpuri-Hindi and Marathi-Hindi ASR and MT. In Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024), pages 229–234, Bangkok, Thailand (in-person and online). Association for Computational Linguistics.
Cite (Informal):
Empowering Low-Resource Language Translation: Methodologies for Bhojpuri-Hindi and Marathi-Hindi ASR and MT (Singh Anand et al., IWSLT 2024)
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PDF:
https://aclanthology.org/2024.iwslt-1.28.pdf