System Papers

Paper Guidelines

Paper Submission Guidelines

System description papers should explain the submitted system clearly enough for readers to understand the approach, reproduce the main configuration, and interpret the official results.

Papers should be at most 4 pages, excluding references. References are unlimited.

Recommended Paper Structure

  1. Abstract. Briefly summarize the system, participation track or subtask, and main findings.
  2. Introduction. Describe the task, the dialectal Arabic varieties or error-analysis setting addressed, the system strategy, major findings, ranking, and challenges. Include a code URL when available.
  3. Background. Summarize the task setup, input and output format, dataset details, tracks participated in, and relevant related work.
  4. System Overview. Describe algorithms, model choices, prompts or fine-tuning strategy, resources used beyond the provided data, and how the system addresses task-specific challenges. Distinguish multiple submitted systems or configurations clearly.
  5. Experimental Setup. Report data split usage, preprocessing, hyperparameters, external tools and libraries with versions, decoding or post-processing, and the task metrics used for evaluation.
  6. Results. Present official metrics and rankings, ablations, comparisons, and analysis by dialect, track, or error type. Clearly distinguish official results from post-submission experiments.
  7. Conclusion. Summarize the system, limitations, results, and future work.
  8. Acknowledgments. Thank contributors, grants, reviewers, and supporting organizations where appropriate.
  9. Appendix. Put low-level implementation details, extended hyperparameters, and extra examples here when they are useful for replication but not essential to the main paper.

Templates and Style

  • Must use: the official EMNLP 2026 (ACL) style template in LaTeX.
  • Download from: official ACL style files.
  • Important: although both templates are available in the ACL repository, use only acl_latex.tex, not acl_lualatex.tex, because LuaLaTeX has known issues.
  • Follow: the general *ACL conference formatting guidelines.
  • Do not: modify style files or use templates from other conferences; doing so may result in paper rejection.
  • Recommended title format: <Team Name> at AlexandriaX-2026: <Your Contribution>.

Key Principles

  • Replicability: provide enough implementation detail to reproduce the system.
  • Analysis: emphasize findings, ablations, multiple runs, and error analysis rather than only rankings.
  • Clarity: summarize the task briefly without duplicating the task overview paper.
  • For standard algorithms, a citation is usually enough; focus detailed space on AlexandriaX-specific choices.
  • Move detailed parameters and hyperparameters to the appendix when space is limited.

Key Dates

  • Paper submission deadline: August 22, 2026.
  • Reviews due: September 1, 2026.
  • Notification of acceptance: September 2, 2026.
  • Camera-ready deadline: September 10, 2026.
  • October 24-29, 2026: ArabicNLP 2026 / EMNLP 2026 presentation period.

Mandatory Citations

All AlexandriaX-2026 system-description papers must cite the shared task overview paper. Authors must also include each additional citation below that applies to their participation or system.

Required for all participants: Shared Task Overview

@inproceedings{elmekki-etal-2026-alexandriax,
    title = "{AlexandriaX 2026: The First Shared Task on Dialectal Arabic Machine Translation}",
    author = "El Mekki, Abdellah  and
      Elmadany, AbdelRahim A.  and
      Magdy, Samar M.  and
      Ezzini, Saad  and
      El-Haj, Mo  and
      Jarrar, Mustafa  and
      Alyafeai, Zaid  and
      Ghanem, Bernard  and
      Abdul-Mageed, Muhammad",
    booktitle = "Proceedings of The Fourth Arabic Natural Language Processing Conference: Shared Tasks",
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
}

Required for Subtask 1 participants: Alexandria Dataset

Subtask 1 participants must cite the original work and source of the data.

@inproceedings{el-mekki-etal-2026-alexandria,
    title = "Alexandria: A Multi-Domain Dialectal {A}rabic Machine Translation Dataset for Culturally Inclusive and Linguistically Diverse {LLM}s",
    author = "EL Mekki, Abdellah  and
      Magdy, Samar M.  and
      Atou, Houdaifa  and
      AbuHweidi, Ruwa  and
      Qawasmeh, Baraah  and
      Nacar, Omer  and
      Al-hibiri, Thikra  and
      Saadie, Razan  and
      Alsayadi, Hamzah A.  and
      Hammouda, Nadia Ghezaiel  and
      Alkhazimi, Alshima Mohammed  and
      Hamod, Aya  and
      Al-Ghafri, Al-Yas Yaqoob  and
      El-Sayed, Wesam  and
      al Sharji, Asila Ismail  and
      Ballout, Mohamad  and
      Belfathi, Anas  and
      Ghaddar, Karim  and
      Sibaee, Serry  and
      Aoun, Alaa  and
      Aseri, Aeej Mohammed  and
      Abureesh, Lina  and
      Bashiti, Ahlam  and
      Yousef, Majdal  and
      Hafiz, Abdulaziz  and
      Mohamed, Yehdih  and
      Hamedtou, Emira  and
      Emehah, Brakehe  and
      Alhamouri, Rahaf  and
      Nafea, Youssef  and
      El Aatar, Aya  and
      Al-Dhabyani, Walid  and
      Hamed, Emhemed S.  and
      Shatnawi, Sara  and
      Alwajih, Fakhraddin  and
      Elkhidir, Khalid  and
      Alasmari, Ashwag  and
      Gerrio, Abdurrahman  and
      Alshahri, Omar Said  and
      Elmadany, AbdelRahim A.  and
      Berrada, Ismail  and
      Al-kathiri, Amir Azad Adli  and
      Zaraket, Fadi  and
      Jarrar, Mustafa  and
      EL Hadj, Yahya Mohamed  and
      Alhuzali, Hassan  and
      Abdul-Mageed, Muhammad",
    editor = "Liakata, Maria  and
      Moreira, Viviane P.  and
      Zhang, Jiajun  and
      Jurgens, David",
    booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.acl-long.1503/",
    doi = "10.18653/v1/2026.acl-long.1503",
    pages = "32567--32592",
    ISBN = "979-8-89176-390-6"
}

Required for Subtask 2 participants: AraFinNLP Shared Task

Subtask 2 participants must cite the original AraFinNLP shared task paper.

@inproceedings{malaysha-etal-2024-arafinnlp,
    title = "{A}ra{F}in{NLP} 2024: The First {A}rabic Financial {NLP} Shared Task",
    author = "Malaysha, Sanad  and
      El-Haj, Mo  and
      Ezzini, Saad  and
      Khalilia, Mohammed  and
      Jarrar, Mustafa  and
      Almujaiwel, Sultan  and
      Berrada, Ismail  and
      Bouamor, Houda",
    editor = "Habash, Nizar  and
      Bouamor, Houda  and
      Eskander, Ramy  and
      Tomeh, Nadi  and
      Abu Farha, Ibrahim  and
      Abdelali, Ahmed  and
      Touileb, Samia  and
      Hamed, Injy  and
      Onaizan, Yaser  and
      Alhafni, Bashar  and
      Antoun, Wissam  and
      Khalifa, Salam  and
      Haddad, Hatem  and
      Zitouni, Imed  and
      AlKhamissi, Badr  and
      Almatham, Rawan  and
      Mrini, Khalil",
    booktitle = "Proceedings of the Second Arabic Natural Language Processing Conference",
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.arabicnlp-1.34/",
    doi = "10.18653/v1/2024.arabicnlp-1.34",
    pages = "393--402"
}

Required for Subtask 3 participants: LQM Dataset

Subtask 3 participants must cite the original work and source of the data.

@inproceedings{magdy-etal-2026-lqm,
    title = "{LQM}: Linguistically Motivated Multidimensional Quality Metrics for Machine Translation",
    author = "Magdy, Samar M.  and
      Alwajih, Fakhraddin  and
      El Mekki, Abdellah  and
      El Sayed, Wesam  and
      Abdul-Mageed, Muhammad",
    editor = "Liakata, Maria  and
      Moreira, Viviane P.  and
      Zhang, Jiajun  and
      Jurgens, David",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {ACL} 2026",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.findings-acl.2012/",
    doi = "10.18653/v1/2026.findings-acl.2012",
    pages = "40470--40493",
    ISBN = "979-8-89176-395-1"
}

Required when using the NileChat baseline

Papers that use the NileChat baseline must cite the following work.

@inproceedings{el-mekki-etal-2025-nilechat,
    title = "{N}ile{C}hat: Towards Linguistically Diverse and Culturally Aware {LLM}s for Local Communities",
    author = "El Mekki, Abdellah  and
      Atou, Houdaifa  and
      Nacar, Omer  and
      Shehata, Shady  and
      Abdul-Mageed, Muhammad",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.emnlp-main.556/",
    doi = "10.18653/v1/2025.emnlp-main.556",
    pages = "10967--10991",
    ISBN = "979-8-89176-332-6"
}