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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16335
Title: Empowering Low-Resource Language Translation: Methodologies for Bhojpuri-Hindi and Marathi-Hindi ASR and MT
Authors: Sharma, Yashvardhan
Keywords: Computer Science
Bhojpuri-Hindi
Automatic Speech Recognition (ASR)
Machine Translation (MT)
Issue Date: 2024
Publisher: Association for Computational Linguistics
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).
URI: https://aclanthology.org/2024.iwslt-1.28/
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16335
Appears in Collections:Department of Computer Science and Information Systems

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