Items where authors include "Alsalka, M."

Proceedings Paper

Alahmari, S. orcid.org/0009-0002-6490-3295, Atwell, E. orcid.org/0000-0001-9395-3764, Alsalka, M. orcid.org/0000-0003-3335-1918 et al. (1 more author) (2025) Evaluating the Performance of LLMs When Translating Saudi Arabic as Low Resource Language. In: Artificial Intelligence XLI: 44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17–19, 2024, Proceedings, Part II. 44th SGAI International Conference on Artificial Intelligence (AI 2024), 17-19 Dec 2024, Cambridge, UK. Lecture Notes in Computer Science, 15447 . Springer Nature , Cham, Switzerland , pp. 264-269. ISBN 9783031779176

Alahmari, S. orcid.org/0009-0002-6490-3295, Atwell, E., Saadany, H. et al. (1 more author) (2025) Arabic-Centric Large Language Models for Dialectal Arabic Sentiment Analysis Task. In: Alharbi, M. I., Chafik, S., Ezzini, S., Mitkov, R., Ranasinghe, T. and Hettiarachchi, H., (eds.) Proceedings of the Shared Task on Sentiment Analysis for Arabic Dialects. Sentiment Analysis on Arabic Dialects in the Hospitality Domain: A Multi-Dialect Benchmark Shared Task, 11-13 Sep 2025, Varna, Bulgaria. ACL Anthology , pp. 69-75. ISBN 978-954-452-109-7

Alahmari, S. orcid.org/0009-0002-6490-3295, Atwell, E. and Alsalka, M. (2025) Saudi Arabian Multi-Dialects Identification Using Ensemble Transformer-based Model. In: Bhateja, V., Dey, M. and Tang, J., (eds.) Innovations in Information and Decision Sciences: Proceedings of the 13th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2025), Volume 4. 13th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA-2025), 06-07 Jun 2025, London, UK. Smart Innovation, Systems and Technologies, 4 . Springer Nature , Cham, Switzerland . ISBN 978-3-032-12829-4 (In Press)

Alnefaie, S., Alsaleh, A., Atwell, E. et al. (2 more authors) (2023) LKAU23 at Qur’an QA 2023: Using Transformer Models for Retrieving Passages and Finding Answers to Questions from the Qur’an. In: Proceedings of ArabicNLP 2023. Proceedings of ArabicNLP 2023, 07 Dec 2023, Singapore. Association for Computational Linguistics , pp. 720-727. ISBN 978-1-959429-27-2