Iqra’Eval: A Shared Task on Qur’anic Pronunciation Assessment
Yassine El Kheir, Amit Meghanani, Hawau Olamide Toyin, Nada Almarwani, Omnia Ibrahim, Yousseif Ahmed Elshahawy, Mostafa Shahin, Ahmed Ali
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Abstract
We present the findings of the first shared task on Qur’anic pronunciation assessment, which focuses on addressing the unique challenges of evaluating the precise pronunciation of Qur’anic recitation. To fill an existing research gap, the Iqra’Eval 2025 shared task introduces the first open benchmark for Mispronunciation Detection and Diagnosis (MDD) in Qur’anic recitation, using Modern Standard Arabic (MSA) reading of Qur’anic texts as its case study. The task provides a comprehensive evaluation framework with increasingly complex subtasks: error localization and detailed error diagnosis. Leveraging the recently developed QuranMB benchmark dataset along with auxiliary training resources, this shared task aims to stimulate research in an area of both linguistic and cultural significance while addressing computational challenges in pronunciation assessment.- Anthology ID:
- 2025.arabicnlp-sharedtasks.61
- Volume:
- Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks
- Month:
- November
- Year:
- 2025
- Address:
- Suzhou, China
- Editors:
- Kareem Darwish, Ahmed Ali, Ibrahim Abu Farha, Samia Touileb, Imed Zitouni, Ahmed Abdelali, Sharefah Al-Ghamdi, Sakhar Alkhereyf, Wajdi Zaghouani, Salam Khalifa, Badr AlKhamissi, Rawan Almatham, Injy Hamed, Zaid Alyafeai, Areeb Alowisheq, Go Inoue, Khalil Mrini, Waad Alshammari
- Venue:
- ArabicNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 443–452
- Language:
- URL:
- https://aclanthology.org/2025.arabicnlp-sharedtasks.61/
- DOI:
- Bibkey:
- Cite (ACL):
- Yassine El Kheir, Amit Meghanani, Hawau Olamide Toyin, Nada Almarwani, Omnia Ibrahim, Yousseif Ahmed Elshahawy, Mostafa Shahin, and Ahmed Ali. 2025. Iqra’Eval: A Shared Task on Qur’anic Pronunciation Assessment. In Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks, pages 443–452, Suzhou, China. Association for Computational Linguistics.
- Cite (Informal):
- Iqra’Eval: A Shared Task on Qur’anic Pronunciation Assessment (El Kheir et al., ArabicNLP 2025)
- Copy Citation:
- PDF:
- https://aclanthology.org/2025.arabicnlp-sharedtasks.61.pdf
Export citation
@inproceedings{el-kheir-etal-2025-iqraeval,
title = "Iqra{'}Eval: A Shared Task on Qur{'}anic Pronunciation Assessment",
author = "El Kheir, Yassine and
Meghanani, Amit and
Toyin, Hawau Olamide and
Almarwani, Nada and
Ibrahim, Omnia and
Elshahawy, Yousseif Ahmed and
Shahin, Mostafa and
Ali, Ahmed",
editor = "Darwish, Kareem and
Ali, Ahmed and
Abu Farha, Ibrahim and
Touileb, Samia and
Zitouni, Imed and
Abdelali, Ahmed and
Al-Ghamdi, Sharefah and
Alkhereyf, Sakhar and
Zaghouani, Wajdi and
Khalifa, Salam and
AlKhamissi, Badr and
Almatham, Rawan and
Hamed, Injy and
Alyafeai, Zaid and
Alowisheq, Areeb and
Inoue, Go and
Mrini, Khalil and
Alshammari, Waad",
booktitle = "Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.arabicnlp-sharedtasks.61/",
pages = "443--452",
ISBN = "979-8-89176-356-2",
abstract = "We present the findings of the first shared task on Qur{'}anic pronunciation assessment, which focuses on addressing the unique challenges of evaluating the precise pronunciation of Qur{'}anic recitation. To fill an existing research gap, the Iqra{'}Eval 2025 shared task introduces the first open benchmark for Mispronunciation Detection and Diagnosis (MDD) in Qur{'}anic recitation, using Modern Standard Arabic (MSA) reading of Qur{'}anic texts as its case study. The task provides a comprehensive evaluation framework with increasingly complex subtasks: error localization and detailed error diagnosis. Leveraging the recently developed QuranMB benchmark dataset along with auxiliary training resources, this shared task aims to stimulate research in an area of both linguistic and cultural significance while addressing computational challenges in pronunciation assessment."
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%0 Conference Proceedings %T Iqra’Eval: A Shared Task on Qur’anic Pronunciation Assessment %A El Kheir, Yassine %A Meghanani, Amit %A Toyin, Hawau Olamide %A Almarwani, Nada %A Ibrahim, Omnia %A Elshahawy, Yousseif Ahmed %A Shahin, Mostafa %A Ali, Ahmed %Y Darwish, Kareem %Y Ali, Ahmed %Y Abu Farha, Ibrahim %Y Touileb, Samia %Y Zitouni, Imed %Y Abdelali, Ahmed %Y Al-Ghamdi, Sharefah %Y Alkhereyf, Sakhar %Y Zaghouani, Wajdi %Y Khalifa, Salam %Y AlKhamissi, Badr %Y Almatham, Rawan %Y Hamed, Injy %Y Alyafeai, Zaid %Y Alowisheq, Areeb %Y Inoue, Go %Y Mrini, Khalil %Y Alshammari, Waad %S Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks %D 2025 %8 November %I Association for Computational Linguistics %C Suzhou, China %@ 979-8-89176-356-2 %F el-kheir-etal-2025-iqraeval %X We present the findings of the first shared task on Qur’anic pronunciation assessment, which focuses on addressing the unique challenges of evaluating the precise pronunciation of Qur’anic recitation. To fill an existing research gap, the Iqra’Eval 2025 shared task introduces the first open benchmark for Mispronunciation Detection and Diagnosis (MDD) in Qur’anic recitation, using Modern Standard Arabic (MSA) reading of Qur’anic texts as its case study. The task provides a comprehensive evaluation framework with increasingly complex subtasks: error localization and detailed error diagnosis. Leveraging the recently developed QuranMB benchmark dataset along with auxiliary training resources, this shared task aims to stimulate research in an area of both linguistic and cultural significance while addressing computational challenges in pronunciation assessment. %U https://aclanthology.org/2025.arabicnlp-sharedtasks.61/ %P 443-452
Markdown (Informal)
[Iqra’Eval: A Shared Task on Qur’anic Pronunciation Assessment](https://aclanthology.org/2025.arabicnlp-sharedtasks.61/) (El Kheir et al., ArabicNLP 2025)
- Iqra’Eval: A Shared Task on Qur’anic Pronunciation Assessment (El Kheir et al., ArabicNLP 2025)
ACL
- Yassine El Kheir, Amit Meghanani, Hawau Olamide Toyin, Nada Almarwani, Omnia Ibrahim, Yousseif Ahmed Elshahawy, Mostafa Shahin, and Ahmed Ali. 2025. Iqra’Eval: A Shared Task on Qur’anic Pronunciation Assessment. In Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks, pages 443–452, Suzhou, China. Association for Computational Linguistics.