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%0 Conference Proceedings
%T ASR Models for Traditional Emirati Arabic: Challenges, Adaptations, and Performance Evaluation
%A Alblooki, Maha
%A Inui, Kentaro
%A Shehata, Shady
%Y Abbas, Mourad
%Y Yousef, Tariq
%Y Galke, Lukas
%S Proceedings of the 8th International Conference on Natural Language and Speech Processing (ICNLSP-2025)
%D 2025
%8 August
%I Association for Computational Linguistics
%C Southern Denmark University, Odense, Denmark
%F alblooki-etal-2025-asr
%U https://aclanthology.org/2025.icnlsp-1.5/
%P 42-49

Markdown (Informal)

[ASR Models for Traditional Emirati Arabic: Challenges, Adaptations, and Performance Evaluation](https://aclanthology.org/2025.icnlsp-1.5/) (Alblooki et al., ICNLSP 2025)

• ASR Models for Traditional Emirati Arabic: Challenges, Adaptations, and Performance Evaluation (Alblooki et al., ICNLSP 2025)

ACL

• Maha Alblooki, Kentaro Inui, and Shady Shehata. 2025. ASR Models for Traditional Emirati Arabic: Challenges, Adaptations, and Performance Evaluation. In Proceedings of the 8th International Conference on Natural Language and Speech Processing (ICNLSP-2025), pages 42–49, Southern Denmark University, Odense, Denmark. Association for Computational Linguistics.