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            <title>Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)</title>
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    <abstract>In this paper, we present the approach and system setup of our participation in the IWSLT 2025 low-resource speech translation shared task. We submitted systems for three language pairs, namely Tunisian Arabic to English, North Levantine Arabic to English, and Fongbé to French. Both pipeline and end-to-end speech translation systems were explored for Tunisian Arabic to English and Fongbé to French pairs. However, only pipeline approaches were investigated for the North Levantine Arabic–English translation direction. All our submissions are based on the usage of pre-trained models that we further fine-tune with the shared task training data.</abstract>
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%0 Conference Proceedings
%T LIA and ELYADATA systems for the IWSLT 2025 low-resource speech translation shared task
%A Chellaf, Chaimae
%A Elleuch, Haroun
%A Istaiteh, Othman
%A Fortuné KPONOU, D.
%A Bougares, Fethi
%A Estève, Yannick
%A Mdhaffar, Salima
%Y Salesky, Elizabeth
%Y Federico, Marcello
%Y Anastasopoulos, Antonis
%S Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria (in-person and online)
%@ 979-8-89176-272-5
%F chellaf-etal-2025-lia
%X In this paper, we present the approach and system setup of our participation in the IWSLT 2025 low-resource speech translation shared task. We submitted systems for three language pairs, namely Tunisian Arabic to English, North Levantine Arabic to English, and Fongbé to French. Both pipeline and end-to-end speech translation systems were explored for Tunisian Arabic to English and Fongbé to French pairs. However, only pipeline approaches were investigated for the North Levantine Arabic–English translation direction. All our submissions are based on the usage of pre-trained models that we further fine-tune with the shared task training data.
%R 10.18653/v1/2025.iwslt-1.27
%U https://aclanthology.org/2025.iwslt-1.27/
%U https://doi.org/10.18653/v1/2025.iwslt-1.27
%P 274-281

Markdown (Informal)

[LIA and ELYADATA systems for the IWSLT 2025 low-resource speech translation shared task](https://aclanthology.org/2025.iwslt-1.27/) (Chellaf et al., IWSLT 2025)

• LIA and ELYADATA systems for the IWSLT 2025 low-resource speech translation shared task (Chellaf et al., IWSLT 2025)

ACL

• Chaimae Chellaf, Haroun Elleuch, Othman Istaiteh, D. Fortuné KPONOU, Fethi Bougares, Yannick Estève, and Salima Mdhaffar. 2025. LIA and ELYADATA systems for the IWSLT 2025 low-resource speech translation shared task. In Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025), pages 274–281, Vienna, Austria (in-person and online). Association for Computational Linguistics.