@inproceedings{talafha-etal-2025-nadi,
    title = "{NADI} 2025: The First Multidialectal {A}rabic Speech Processing Shared Task",
    author = "Talafha, Bashar  and
      Toyin, Hawau Olamide  and
      Sullivan, Peter  and
      Elmadany, AbdelRahim A.  and
      Juma, Abdurrahman  and
      Djanibekov, Amirbek  and
      Zhang, Chiyu  and
      Alshehhi, Hamad  and
      Aldarmaki, Hanan  and
      Jarrar, Mustafa  and
      Habash, Nizar  and
      Abdul-Mageed, Muhammad",
    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://preview.aclanthology.org/ingest-emnlp/2025.arabicnlp-sharedtasks.99/",
    pages = "720--733",
    ISBN = "979-8-89176-356-2",
    abstract = "We present the findings of the sixth Nuanced Arabic Dialect Identification (NADI 2025) Shared Task, which focused on Arabic speech dialect processing across three subtasks: spoken dialect identification (Subtask 1), speech recognition (Subtask 2), and diacritic restoration for spoken dialects (Subtask 3). A total of 44 teams registered, and during the testing phase, 100 valid submissions were received from eight unique teams. The distribution was as follows: 34 submissions for Subtask 1 five teams, 47 submissions for Subtask 2 six teams, and 19 submissions for Subtask 3 two teams. The best-performing systems achieved 79.8{\%} accuracy on Subtask 1, $35.68/12.20$ WER/CER (overall average) on Subtask 2, and $55/13$ WER/CER on Subtask 3. These results highlight the ongoing challenges of Arabic dialect speech processing, particularly in dialect identification, recognition, and diacritic restoration. We also summarize the methods adopted by participating teams and briefly outline directions for future editions of NADI."
}