Empowering Low-Resource Language Translation: Methodologies for Bhojpuri-Hindi and Marathi-Hindi ASR and MT
| dc.contributor.author | Sharma, Yashvardhan | |
| dc.date.accessioned | 2024-11-12T07:02:26Z | |
| dc.date.available | 2024-11-12T07:02:26Z | |
| dc.date.issued | 2024 | |
| dc.description.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). | en_US |
| dc.identifier.uri | https://aclanthology.org/2024.iwslt-1.28/ | |
| dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16335 | |
| dc.language.iso | en | en_US |
| dc.publisher | Association for Computational Linguistics | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Bhojpuri-Hindi | en_US |
| dc.subject | Automatic Speech Recognition (ASR) | en_US |
| dc.subject | Machine Translation (MT) | en_US |
| dc.title | Empowering Low-Resource Language Translation: Methodologies for Bhojpuri-Hindi and Marathi-Hindi ASR and MT | en_US |
| dc.type | Article | en_US |
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