| 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.identifier.uri |
https://aclanthology.org/2024.iwslt-1.28/ |
|
| dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16335 |
|
| 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.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 |