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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
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dc.contributor.authorSharma, Yashvardhan-
dc.date.accessioned2024-11-12T07:02:26Z-
dc.date.available2024-11-12T07:02:26Z-
dc.date.issued2024-
dc.identifier.urihttps://aclanthology.org/2024.iwslt-1.28/-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16335-
dc.description.abstractThe 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).en_US
dc.language.isoenen_US
dc.publisherAssociation for Computational Linguisticsen_US
dc.subjectComputer Scienceen_US
dc.subjectBhojpuri-Hindien_US
dc.subjectAutomatic Speech Recognition (ASR)en_US
dc.subjectMachine Translation (MT)en_US
dc.titleEmpowering Low-Resource Language Translation: Methodologies for Bhojpuri-Hindi and Marathi-Hindi ASR and MTen_US
dc.typeArticleen_US
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