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:
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.iwslt-1.28.pdf