@inproceedings{sullivan-etal-2026-nadi,
title = "{NADI} 2026: The Second Multidialectal {A}rabic Speech Processing Shared Task",
author = "Sullivan, Peter and
Talafha, Bashar and
Ashraf, Ahmed and
Bougares, Fethi and
Elleuch, Haroun and
Zhang, Chiyu and
Elmadany, AbdelRahim A. and
Mohamed, Youssef and
Mdhaffar, Salima and
Est{\`e}ve, Yannick and
Elhoseiny, Mohamed and
Luqman, Hamzah and
Habash, Nizar and
Abdul-Mageed, Muhammad",
editor = "Abdul-Mageed, Muhammad and
Elsayed, Tamer and
Bouamor, Houda and
El-Beltagy, Samhaa and
Al-Khalifa, Hend and
Abdelali, Ahmed and
Elmadany, AbdelRahim and
El Mekki, Abdellah and
Darwish, Kareem and
Alkhereyf, Sakhar and
Luqman, Hamzah and
Khalifa, Salam and
Magdy, Samar and
Alyafeai, Zaid and
Hamed, Injy and
Zaghouani, Wajdi and
Zitouni, Imed",
booktitle = "Proceedings of The Fourth {A}rabic Natural Language Processing Conference: Shared Tasks",
month = oct,
year = "2026",
address = "Budapest, Hungary",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.arabicnlp-sharedtasks.1/",
pages = "1--30",
ISBN = "979-8-89176-497-2",
abstract = "NADI 2026 is the seventh edition of the Nuanced Arabic Dialect Identification (NADI) shared task series and the second dedicated to multidialectal Arabic speech processing. This edition comprises five tasks and eight subtasks spanning Automatic Speech Recognition (ASR), Spoken Dialect Identification (SDID), Text-to-Speech (TTS), Spoken Language Translation (SLT), and Spoken Language Understanding (SLU). NADI 2026 emphasizes realistic evaluation through low-bandwidth, mixed-dialect, code-switched, out-of-domain, and zero-shot settings, while introducing TTS, SLT, and SLU to the series for the first time. The shared task attracted 21 participating teams from at least 13 countries, with 48 test-phase submissions, and 14 submitted system-description papers. Results show that out-of-domain generalization remain a bottleneck and highlight the effectiveness of recent Arabic-specialized speech models, multimodal dialect identification, and ensemble methods. Overall, NADI 2026 provides a broader and more challenging benchmark for robust Arabic dialect speech processing."
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<abstract>NADI 2026 is the seventh edition of the Nuanced Arabic Dialect Identification (NADI) shared task series and the second dedicated to multidialectal Arabic speech processing. This edition comprises five tasks and eight subtasks spanning Automatic Speech Recognition (ASR), Spoken Dialect Identification (SDID), Text-to-Speech (TTS), Spoken Language Translation (SLT), and Spoken Language Understanding (SLU). NADI 2026 emphasizes realistic evaluation through low-bandwidth, mixed-dialect, code-switched, out-of-domain, and zero-shot settings, while introducing TTS, SLT, and SLU to the series for the first time. The shared task attracted 21 participating teams from at least 13 countries, with 48 test-phase submissions, and 14 submitted system-description papers. Results show that out-of-domain generalization remain a bottleneck and highlight the effectiveness of recent Arabic-specialized speech models, multimodal dialect identification, and ensemble methods. Overall, NADI 2026 provides a broader and more challenging benchmark for robust Arabic dialect speech processing.</abstract>
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%0 Conference Proceedings
%T NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task
%A Sullivan, Peter
%A Talafha, Bashar
%A Ashraf, Ahmed
%A Bougares, Fethi
%A Elleuch, Haroun
%A Zhang, Chiyu
%A Elmadany, AbdelRahim A.
%A Mohamed, Youssef
%A Mdhaffar, Salima
%A Estève, Yannick
%A Elhoseiny, Mohamed
%A Luqman, Hamzah
%A Habash, Nizar
%A Abdul-Mageed, Muhammad
%Y Abdul-Mageed, Muhammad
%Y Elsayed, Tamer
%Y Bouamor, Houda
%Y El-Beltagy, Samhaa
%Y Al-Khalifa, Hend
%Y Abdelali, Ahmed
%Y Elmadany, AbdelRahim
%Y El Mekki, Abdellah
%Y Darwish, Kareem
%Y Alkhereyf, Sakhar
%Y Luqman, Hamzah
%Y Khalifa, Salam
%Y Magdy, Samar
%Y Alyafeai, Zaid
%Y Hamed, Injy
%Y Zaghouani, Wajdi
%Y Zitouni, Imed
%S Proceedings of The Fourth Arabic Natural Language Processing Conference: Shared Tasks
%D 2026
%8 October
%I Association for Computational Linguistics
%C Budapest, Hungary
%@ 979-8-89176-497-2
%F sullivan-etal-2026-nadi
%X NADI 2026 is the seventh edition of the Nuanced Arabic Dialect Identification (NADI) shared task series and the second dedicated to multidialectal Arabic speech processing. This edition comprises five tasks and eight subtasks spanning Automatic Speech Recognition (ASR), Spoken Dialect Identification (SDID), Text-to-Speech (TTS), Spoken Language Translation (SLT), and Spoken Language Understanding (SLU). NADI 2026 emphasizes realistic evaluation through low-bandwidth, mixed-dialect, code-switched, out-of-domain, and zero-shot settings, while introducing TTS, SLT, and SLU to the series for the first time. The shared task attracted 21 participating teams from at least 13 countries, with 48 test-phase submissions, and 14 submitted system-description papers. Results show that out-of-domain generalization remain a bottleneck and highlight the effectiveness of recent Arabic-specialized speech models, multimodal dialect identification, and ensemble methods. Overall, NADI 2026 provides a broader and more challenging benchmark for robust Arabic dialect speech processing.
%U https://aclanthology.org/2026.arabicnlp-sharedtasks.1/
%P 1-30
Markdown (Informal)
[NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task](https://aclanthology.org/2026.arabicnlp-sharedtasks.1/) (Sullivan et al., ArabicNLP 2026)
ACL
- Peter Sullivan, Bashar Talafha, Ahmed Ashraf, Fethi Bougares, Haroun Elleuch, Chiyu Zhang, AbdelRahim A. Elmadany, Youssef Mohamed, Salima Mdhaffar, Yannick Estève, Mohamed Elhoseiny, Hamzah Luqman, Nizar Habash, and Muhammad Abdul-Mageed. 2026. NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task. In Proceedings of The Fourth Arabic Natural Language Processing Conference: Shared Tasks, pages 1–30, Budapest, Hungary. Association for Computational Linguistics.