UOM-Constrained IWSLT 2024 Shared Task Submission - Maltese Speech Translation

Kurt Abela, Md Abdur Razzaq Riyadh, Melanie Galea, Alana Busuttil, Roman Kovalev, Aiden Williams, Claudia Borg

Abstract
This paper presents our IWSLT-2024 shared task submission on the low-resource track. This submission forms part of the constrained setup; implying limited data for training. Following the introduction, this paper consists of a literature review defining previous approaches to speech translation, as well as their application to Maltese, followed by the defined methodology, evaluation and results, and the conclusion. A cascaded submission on the Maltese to English language pair is presented; consisting of a pipeline containing: a DeepSpeech 1 Automatic Speech Recognition (ASR) system, a KenLM model to optimise the transcriptions, and finally an LSTM machine translation model. The submission achieves a 0.5 BLEU score on the overall test set, and the ASR system achieves a word error rate of 97.15%. Our code is made publicly available.
Anthology ID:
2024.iwslt-1.15
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:
108–113
Language:
URL:
https://aclanthology.org/2024.iwslt-1.15
DOI:
10.18653/v1/2024.iwslt-1.15
Bibkey:
Cite (ACL):
Kurt Abela, Md Abdur Razzaq Riyadh, Melanie Galea, Alana Busuttil, Roman Kovalev, Aiden Williams, and Claudia Borg. 2024. UOM-Constrained IWSLT 2024 Shared Task Submission - Maltese Speech Translation. In Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024), pages 108–113, Bangkok, Thailand (in-person and online). Association for Computational Linguistics.
Cite (Informal):
UOM-Constrained IWSLT 2024 Shared Task Submission - Maltese Speech Translation (Abela et al., IWSLT 2024)
Copy Citation:
PDF:
https://preview.aclanthology.org/autopr/2024.iwslt-1.15.pdf
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