UM-DFKI Maltese Speech Translation

Aiden Williams, Kurt Abela, Rishu Kumar, Martin Bär, Hannah Billinghurst, Kurt Micallef, Ahnaf Mozib Samin, Andrea DeMarco, Lonneke van der Plas, Claudia Borg


Abstract
For the 2023 IWSLT Maltese Speech Translation Task, UM-DFKI jointly presents a cascade solution which achieves 0.6 BLEU. While this is the first time that a Maltese speech translation task has been released by IWSLT, this paper explores previous solutions for other speech translation tasks, focusing primarily on low-resource scenarios. Moreover, we present our method of fine-tuning XLS-R models for Maltese ASR using a collection of multi-lingual speech corpora as well as the fine-tuning of the mBART model for Maltese to English machine translation.
Anthology ID:
2023.iwslt-1.41
Volume:
Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
Month:
July
Year:
2023
Address:
Toronto, Canada (in-person and online)
Venue:
IWSLT
SIG:
SIGSLT
Publisher:
Association for Computational Linguistics
Note:
Pages:
433–441
Language:
URL:
https://aclanthology.org/2023.iwslt-1.41
DOI:
10.18653/v1/2023.iwslt-1.41
Bibkey:
Cite (ACL):
Aiden Williams, Kurt Abela, Rishu Kumar, Martin Bär, Hannah Billinghurst, Kurt Micallef, Ahnaf Mozib Samin, Andrea DeMarco, Lonneke van der Plas, and Claudia Borg. 2023. UM-DFKI Maltese Speech Translation. In Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023), pages 433–441, Toronto, Canada (in-person and online). Association for Computational Linguistics.
Cite (Informal):
UM-DFKI Maltese Speech Translation (Williams et al., IWSLT 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.iwslt-1.41.pdf