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The 2nd Workshop on NLP for Languages Using Arabic Script (AbjadNLP 2026)
Location: Rabat, Morocco (in-person)
Workshop date, Saturday 28 March 2026
Full-day event 9am to 5:45pm
Venue: Palais Des Congres (Room: SALLE Les Riad)
Co-located with The 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026)
New: Workshop Program is now available at: https://wp.lancs.ac.uk/abjad/program/
About AbjadNLP
AbjadNLP focuses on advancing NLP for Arabic and all languages written in Arabic-derived scripts. Following the success of the 2025 edition at COLING Abu Dhabi, the 2026 workshop returns as part of SIGARAB, the ACL Special Interest Group on Arabic NLP. Our organisers also collaborate closely with Masakhane, reflecting our commitment to community-driven, inclusive NLP across Africa, the Middle East, and Asia.
The workshop welcomes work on:
- Arabic (MSA, Classical Arabic, dialects)
- Perso-Arabic languages such as Persian, Urdu, Pashto, Sorani Kurdish, Azeri, Ottoman Turkish, Sindhi, Uyghur
- Ajami traditions across Africa, including Hausa, Fula, Wolofal, Swahili, Kanuri, Mandingo, Tamazight and others
Together, these communities represent almost one billion speakers, yet many remain under-resourced in NLP. Strengthening technology for these languages is not only a scientific challenge but also essential for preserving linguistic heritage and improving digital inclusion.
Previous proceedings:
https://aclanthology.org/volumes/2025.abjadnlp-1/
Motivation
Arabic-script languages form one of the most culturally and linguistically diverse language families in the world. AbjadNLP aims to support this diversity by improving resources, tools, and research practices for under-represented languages and dialects.
We invite contributions that support:
- Inclusive and open NLP ecosystems
- Cross-community collaboration (academia, industry, grassroots groups)
- Long-term capacity building for low-resource and minority languages
Topics of Interest
We invite work on all NLP areas related to Arabic-script languages, including:
- Core NLP: morphology, tokenisation, tagging, parsing, NER, sentiment, and language modelling (including LLMs for low-resource settings).
- Applications: machine translation, speech technologies, OCR/handwriting recognition, QA, conversational systems, and social media analysis.
- Resources: corpora, lexicons, orthography documentation, and tools for low-resource or marginalised languages.
- Culture & Sociolinguistics: code-switching, dialects, transliteration, orthographic variation, and language preservation.
- Interdisciplinary: NLP for education, health, finance, legal or cultural heritage domains, as well as ethics, fairness, and evaluation for under-represented languages.
Keynote Speaker
Dr Violetta Laura Cavalli-Sforza (Al Akhawayn University, Ifrane, Morocco)
Violetta Cavalli-Sforza is a full-time Computer Science faculty member at Al Akhawayn University in Ifrane, where she has worked since 2008. She holds graduate degrees in Civil Engineering and Computer Science, culminating in a Ph.D. in Intelligent Systems Studies. Her doctoral dissertation focused on computer-assisted instruction to visualize scientific argumentation. She worked in natural language processing, particularly in machine translation, at Carnegie Mellon University, but her research in the last few years has focused on language learning through reading and readability of texts, particularly for Arabic. She has taught a variety of topics in Computer Science at the graduate and undergraduate level. She has coordinated the Center for the Advancement of Teaching, Learning, and Scholarship (ATLAS), dedicated to faculty development, has been Assistant Vice President for Academic Research and is currently the Computer Science Program Lead.
Talk title: Orthographic Dreams and Woes for Moroccan Arabic (Darija)
Abstract: While Modern Standard Arabic has a well-defined standard orthography that is codified in countless grammars and dictionaries, dialectal Arabic, is typically an oral language, the first learnt by children in the Arab world, first from their family, then through interaction with the society around them. When speakers begin writing their dialect, whether for interacting over social media, for advertising to reach a wide and sometimes low-literacy population, or more recently, for collecting resources to be computationally processed, they don’t use rules for writing the oral message because there are none. Conventions develop but are also easily ignored since, the intent being to communicate, as long as the message is understandable the receiver can be flexible. Moroccan Arabic (Darija) is one of the more recently addressed dialects of Arabic and, even though there have been efforts at writing it over time, there is still substantial variation. In this talk, I will examine previous attempts at systematizing Darija writing, consider the challenges specific to Darija, and justify the orthographic choices our research group has been making (work in progress) for language learning.
Shared Tasks at AbjadNLP 2026**
AbjadNLP 2026 will host four shared tasks covering Arabic and other Abjad languages (full details to follow). These tasks aim to support research across the wide family of languages written in Arabic-derived scripts.
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AbjadGenEval: Abjad AI Generated Text Detection Shared Task for Languages Using Arabic Script
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AbjadStyleTransfer: Shared Task on Authorship Style Transfer (Text Generation): Transform a formal input text into the style of a specified author while preserving semantics.
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AbjadAuthorID: Abjad Authorship Identification (Multiclass Classification): Identify the author of a given text excerpt across diverse genres and periods.
- Organisers of shared-tasks 1, 2 and 3:
- Dr Saad Ezzini, KFUPM, Saudi Arabia
- Dr Shadi Abudalfa, KFUPM, Saudi Arabia
- Dr Ahmad Abdelali, Humain, Saudi Arabia
- Dr Mo El-Haj, VinUni, Vietnam
- Dr Sina Ahmadi, University of Zurich
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Dr Nadir Durrani, HBKU, Qatar
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Dr Hassan Sajjad, Dalhousie university, Canada
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Dr Farah Adeeba, University of Massachusetts amherst, USA.
- Registration:
📢 Registration now open (see the url for each of the shared-tasks above)
- Organisers of shared-tasks 1, 2 and 3:
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Medical text classification in Arabic (multi-class classification): A collaborative research challenge advancing Arabic natural language processing in the medical domain
- Organisers:
- Registration:
📢 Registration now open: https://forms.gle/paziGMMsDHahRhz4A
Organising Committee:
General Chair:
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Dr Mo El-Haj Reader/Associate Professor, VinUniversity, Vietnam; Lancaster University, UK |
Publicity Chairs
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Dr Amal Haddad Haddad Assistant Professor, University of Granada, Spain |
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Ms Cynthia Amol NLP Researcher, Maseno University, Kenya |
Programme Chairs
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Prof. Paul Rayson Director of UCREL Research Centre, Lancaster University, UK |
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Prof. Mustafa Jarrar Director of SINA Research Lab, HBKU / Birzeit University |
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Dr Ignatius Ezeani Senior Research Associate, Lancaster University, UK |
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Dr Saad Ezzini Assistant Professor, KFUPM, Saudi Arabia |
Publication Chair
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Dr Sina Ahmadi Postdoctoral researcher in the Department of Computational Linguistics at the University of Zurich, Switzerland |
Shared-Task Chairs
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Dr Ahmad Abdelali Humain, Saudi Arabia |
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Dr Shadi Abudalfa Research Engineer, KFUPM, Saudi Arabia |
Advisory Committee
| Prof. Nizar Habash (New York Abu Dhabi, UAE). |  |
| Prof. Miriam Butt (University of Konstanz, Germany) |  |
| Prof. Ruslan Mitkov (Lancaster University, UK) |  |
Diversity and Inclusion
AbjadNLP is inherently committed to promoting diversity, equity, and inclusion, reflecting ACL’s broader mission to support underrepresented languages, researchers, and communities in NLP. Our focus on Arabic-script languages naturally encompasses a wide range of linguistic, cultural, and regional diversity across Africa, the Middle East, and Asia.
Submission Format and Guidelines
Submission URL: https://softconf.com/eacl2026/AbjadNLP2026
AbjadNLP 2026 will follow the EACL 2026 standards for submission format, review process, and ethical guidelines. All submissions must comply with the requirements outlined in the official EACL 2026 Call for Papers.
We adhere to EACL’s submission policies, including:
- Anonymous submissions: All papers must be fully anonymised for double-blind peer review.
- ACL Rolling Review (ARR): Authors may submit papers either directly to the workshop or via the ACL Rolling Review system within the stated deadlines.
For formatting, authors must use the official ACL style templates, which are available on GitHub, including an Overleaf template for convenience.
- Long papers: Up to 8 pages, presenting substantial, original, completed, and unpublished research.
- Short papers: Up to 4 pages, describing smaller, focused contributions, negative results, work in progress, or system demonstrations.
References do not count towards the page limit, and all submissions will undergo double-blind review.
Desk Rejection
A submission may be desk rejected for one or more of the following reasons:
- The submission is not anonymous. This includes author names, email addresses, acknowledgements, or links to non-anonymised GitHub or HuggingFace repositories.
- The paper length is outside the allowed range, it must be between 4 and 8 pages excluding references. Non-core sections such as limitations and ethical considerations are excluded from the page count.
- The paper does not follow the ACL format. Please ensure you are using the official ACL templates
Proceedings and Publication
Papers submitted to AbjadNLP 2026 will be peer reviewed. Accepted papers at AbjadNLP 2026 will be published in the EACL workshop proceedings on the ACL Anthology (for example, EACL 2024: https://aclanthology.org/events/eacl-2024/ and AbjadNLP 2025: https://aclanthology.org/volumes/2025.abjadnlp-1/).
AbjadNLP proceedings will be published as part of the EACL 2026 proceedings. EACL proceedings have historically been indexed by Scopus, but indexing is decided by Scopus after publication and cannot be guaranteed in advance.
Key Dates (Aligned with EACL 2026 Schedule):
First Call for Papers: 15 October 2025Second Call for Papers: 30 November 2025Third Call for Papers: 19 December 2025Direct Submission Deadline: 15 January 2026 (extended)Pre-reviewed (ARR) Submission Deadline: 15 January 2026 (extended)Notification of Acceptance: 30 January 2026Camera-ready Papers Due: 6 February 2026- Workshop Dates: 28 March 2026 (Saturday) Full-day 9am to 5:45pm
Programme Committee (to be confirmed)
- Abdelbasset Djamai, Datategy & NAMAA Community, Algeria
- Abderrahim El Yessefi, Faculty of Sciences and Techniques of Tangier (FSTT), Morocco
- Abdullah I. Alharbi, King Salman Global Academy for Arabic, Saudi Arabia
- Ahmed Abdelali, Hamad Bin Khalifa University, Qatar
- Ali Al-Laith, University of Copenhagen, Denmark
- Alp Oktem, CollectivaT, Spain
- Azizud Din, University Malaysia Sarawak, Malaysia
- Balaji Nagarajan, Lowe’s United States
- Btissam Er-Rahmadi, Huawei Technologies R&D, United Kingdom
- Djamel Mostefa, SYSTRA Group, France
- Doaa Samy, Cairo University, Egypt
- Fadi Zaraket, UAB, Lebanon
- Mohamad Ballout, UAB, Lebanon
- Fatima Ez-Zahraa Bazay, Mohammed V University in Rabat, Morocco
- Haithem Afli, ADAPT Centre, Ireland
- Hessa Alawwad, Imam Mohammad Ibn Saud Islamic, Saudi Arabia
- Houda Anoun, Hassan II University of Casablanca, Morocco
- Ignatius Ezeani, Lancaster University, United Kingdom
- Imed Zitouni, Meta, United States
- Khloud Al Jallad, Syrian Society for Startups and Research (SySSR)
- Latifa Iben Nasr, University of Sfax, Tunisia
- Manish Adawadkar, Nike, United States
- Muhammad Adeel, University of Management and Technology (UMT), Pakistan
- Muhammad Sharjeel, COMSATS University Islamabad, Pakistan
- Nadia Ghezaiel, University of Ha’il, Saudi Arabia
- Najwa Alghamdi, University of Edinburgh, United Kingdom
- Niranjan Kumar M, Lowe’s United States
- Noor Abo Mokh, MBZUAI, UAE
- Paul Rayson, Lancaster University, United Kingdom
- Pranav Gupta, Cisco, United States
- Passant Elchafei, Ulm University, Germany
- Rania Azad M. San Ahmed, Sulaimani Polytechnic University, Iraq
- Raziullah Khan, HCL Technologies, USA
- Reham Marzouk, MBZUAI, UAE
- Saad Ezzini, King Fahd University of Petroleum and Minerals, Saudi Arabia
- Sadam Al-Azani, King Fahd University of Petroleum and Minerals, Saudi Arabia
- Samira Ellouze, University of Sfax, Tunisia
- Shadi Abudalfa, King Fahd University of Petroleum and Minerals, Saudi Arabia
- Shervin Malmasi, Macquarie University, Australia
- Sina Ahmadi, University of Zurich, Switzerland
- Salim Al Mandhari, Lancaster University, United Kingdom
- Satyam Raj, Arizona State University, United States
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Serry Sibaee, Prince Sultan University, Saudi Arabia
- Seyed Arad Ashrafi Asli, MIRAS Technologies, Iran
- Yamina Leyla Moussaoui, C.R.S.T.D.L.A, Algeria
Accepted papers:
| Paper type | Title | Authors |
|---|---|---|
| Poster | ArabicDialectHub: A Cross-Dialectal Arabic Learning Resource and Platform | Salem Lahlou |
| Oral | Rethinking Polarity Detection: When BPE Fails Across Scripts | Manodyna K H, Luc De Nardi |
| Oral | Optimizing What We Trust: Reliability-Guided QUBO Selection of Multi-Agent Weak Framing Signals for Arabic Sentiment Prediction | Rabab Alkhalifa |
| Oral | Optimizer Choice and Calibration for QARiB on Arabic-Script Social Media Offensive Language Detection | Auda Elshokry, Mohammed Alhanjouri |
| Poster | Tarab: A Multi-Dialect Corpus of Arabic Lyrics and Poetry | Mo El-Haj |
| Oral | LLM-to-Speech: A Synthetic Data Pipeline for Training Dialectal Text-to-Speech Models | Ahmed Khamis, Hesham Ali Ahmed |
| Shared task | HCMUS_TheFangs at AbjadGenEval Shared Task: Weighted Layer Pooling with Attention Fusion for Arabic AI-Generated Text Detection | Duy Minh Dao Sy, Trung Kiet Huynh, Nguyen Dinh Ha Duong, Nguyen Chi Tran, Phu Quy Nguyen Lam, Hoa Pham Phu |
| Oral | KazakhOCR: A Synthetic Benchmark for Evaluating Multimodal Models in Low-Resource Kazakh Script OCR | Henry Gagnier, Sophie Gagnier, Ashwin Kirubakaran |
| Poster | Seeing Words Differently: Visual Embeddings for Robust English-Arabic Machine Translation | Mahdi Alshaikh Saleh, Irfan Ahmad |
| Oral | Character-Level Transformer for Tajik–Persian Transliteration with a Parallel Lexical Corpus | Arabov Mullosharaf Kurbonovich |
| Poster | Arabic Dialect Translation with Small LLMs: Enhancing through Reasoning-Oriented Reinforcement Learning | Sohaila Abdulsattar, Keith Ross |
| Shared task | MedArabs at AbjadMed: Arabic Medical Text Classification via Data- and Algorithm-Level Fusion | Amrita Singh |
| Shared task | GATech at AbjadGenEval: Multilingual Embeddings for Arabic Machine-Generated Text Classification | Ahmed Khamis |
| Oral | Orthographic Robustness of Persian Named Entity Recognition Models | Henry Gagnier, Sophie Gagnier |
| Shared task | ArabicMedicalBERT-QA-82 at AbjadMed: Fighting Class Imbalance in Arabic Medical Text Classification | Gleb Shanshin |
| Shared task | KvochurHegel at AbjadMed: Combining LDAM Loss and Adversarial Training for Arabic Medical Question-Answer Classification | Minh-Hoang Le |
| Shared task | baellouf at AbjadMed: Efficient Fine-tuning with All-Linear LoRA for Arabic Medical QA Classification | Abdallah Khallouf |
| Shared task | Supachoke at AbjadMed: Enhancing Arabic Medical Text Classification Using Fine-Tuned AraBERT | Thanh Phu Nguyen, Tuan Thai Huy Nguyen Cu, Son Thai Pham, Tri Duy Ho Nguyen |
| Shared task | REIGNITE at AbjadMed: Imbalance-Aware Fine-Tuning of Pretrained Arabic Transformers for Arabic Medical Text Classification Task | Nahid Montasir Rifat, Foyez Ahmed Dewan |
| Shared task | Tashkees-AI at AbjadMed 2026: Flat vs. Hierarchical Classification for Fine-Grained Arabic Medical QA | Fatimah Mohamed Emad Eldin |
| Shared task | MetaSwarm at AbjadMed: Forensic Optimization and Class-Balanced Discovery for Medical Diglossia in Abjad Scripts | Rahul Jaisy |
| Poster | QurSci-Onto: A Hierarchical Ontology and Dataset for Scientific Exegesis in the Quran | Ibad-ur-Rehman Rashid, Junaid Hussain, Sadam Al-Azani |
| Oral | AjamiMorph: Zero-Annotation Morphological Discovery for Hausa Ajami via Multi-Method Consensus | Soumedhik Bharati, Shibam Mandal, Prithwish Ghosh, Swarup Kr Ghosh, Sayani Mondal |
| Oral | Morphological Feature Extraction for Fine-Grained Sorani Kurdish Dialect Identification: A Hybrid Transformer-Linguistic Approach | Soumedhik Bharati, Shibam Mandal, Subham Majumdar, Swarup Kr Ghosh, Sayani Mondal |
| Shared task | Olga Snissarenko at AbjadMed: Arabic Clinical Text Classification with AraBERT: Results from the AbjadMed Shared Task | Olga Snissarenko |
| Oral | From Classical to Contemporary: Evolutionary Analysis & Classification of Urdu Poetry | Noor Fatima, Hasan Faraz Khan, Irfan Ahmad |
| Poster | Alkhalil Corpus: An Open-Source Thematic and Lemmatized Corpus for Modern Standard Arabic | Samir Belayachi, Azzeddine Mazroui |
| Oral | Enhancing Urdu Sentiment Classification through Instruction-Tuned LLMs and Cross-Lingual Transfer | Hasan Faraz Khan, Noor Fatima, Irfan Ahmad |
| Poster | Back-of-the-Book Index Automation for Arabic Documents | Nawal Haidar, Ahmad Kashmar, Fadi Zaraket |
| Oral | Improving on State-of-the-Art Models for Sentiment Analysis on Saudi-English Code-Switching Text | Samaher Alghamdi, Paul Rayson, Reem Alotibi |
| Poster | OMAN-SPEECH: A Multi-Layer Annotated Speech Corpus for Omani Arabic Dialects | Rayyan S. Al Khadhuri, Firas Al Mahrouqi, Salim Al Mandhari, Amir Azad Al-Kathiri, Omar Said Alshahri, Ghassab Mansoor Alsaqr, Badri Abdulhakim Mudhsh, Tarek Fatnassi |
| Poster | Hala Technical Report Building Arabic-Centric Instruction & Translation Models at Scale | Hasan Abed Al, Kader Hammoud, Mohamad Bilal Zbib, Bernard Ghanem |
| Poster | Arabic Citation Parsing using Part of Speech and Named Entity Recognition | Youssef Karout, Hadi Hammoud, Fadi Zaraket |
| Poster | DeformAR: A Visual Analytics Framework for Evaluation of Arabic Named Entity Recognition | Ahmed Mustafa Younes |
| Poster | A Corpus-Based Investigation of Contemporary Arabic Dialects Using the SADA Corpus | Ghada Alfattni |
| Oral | HACS-TL: Cross-Script Transfer Learning for Hausa Ajami Hate Speech Detection Using Transformer-Based Architecture | Abdulkadir Shehu Bichi, Muqaddar Ali, Prashant Sharma, Ismail Dauda Abubakar |
| Oral | Code-Switching as a Safety Failure Mode in Large Language Models: An Empirical Study of Roman Urdu across English, Mixed, and Transliteration-Only Inputs | Waleed Jamil, Saima Rafi |
| Oral | QAMAR: A New Fully Verified and Accurate Quranic Arabic Morphological Analysis Resource. | Sara Faqihi, Karim Bouzoubaa, Rachida Tajmout, Driss Namly |
| Oral | AraModernBERT: Transtokenized Initialization and Long-Context Encoder Modeling for Arabic | Omar elshehy, Omer Nacar, Abdelbasset Djamai, Muhammed Ragab, Khloud Al Jallad, Mona Abdelazim |
| Oral | Parameter-Efficient Adaptation of Self-Supervised Models for Arabic Speech Recognition | Wafa Mohammed Alshehri, Wasfi G. Al-Khatib, Mohammad Ismail Amro |
| Oral | Current state of LLMs for Arabic dialectal machine translation | Josef Jon, Rawan Bondok, Ondřej Bojar |
| Poster | A Hybrid Confidence-Aware Framework for Arabic Toxicity Detection in Social Media | Fawzia Zaal Alanazi, Asma Mohammed Alamri, Arwa Bin Saleh, Abdullah I. Alharbi |
| Poster | Arabic-Adapted One-Step Speech-to-Diacritized ASR: Evaluation and Error Analysis | Osamah A. I. Abduljalil, Dalal Ali, Razan A. Bajaman, Abdullah I. Alharbi |
| Shared task | GATech at AbjadGenEval Shared Task: Multilingual Embeddings for Arabic Machine-Generated Text Classification | Ahmed Khamis |
| Oral | AraLingBench: A Human-Annotated Benchmark for Evaluating Arabic Linguistic Capabilities of Large Language Models | Mohamad Bilal Zbib, Hasan Abed Al Kader Hammoud, Ammar Mohanna, Nadine Rizk, Fatima Karnib, Sina Moukaled, Bernard Ghanem |
| Shared task | REGLAT at AbjadMed: Handling Imbalanced Arabic Medical Text Classification via Hierarchical KNN-MLP Architecture | Ahmed Megahed Fetouh, Mohammed Rahmath, Omer Dawood, Mariam Labib, Nsrin Ashraf, Hamada Nayel |
| Oral | Murabaa: A comprehensive Resource Platform for Arabic Morphology | Karim Bouzoubaa, Driss Namly, Hamid Jihad, Rachida Tajmout, Jamal Ezzouaine, Hakima Khamar |
| Oral | U-MIRAGE: Benchmarking Chain-of-Thought Reasoning for Urdu Medical QA | Ali Faheem, Faizad Ullah, Muhammad Hammad, Ahmed Hassan, Muhammad Sohaib Ayub, Asim Karim |
| Shared task | Sujith Kanakkassery at AbjadMed: Imbalance-Aware Transformer Fine-tuning for Arabic Medical Text Classification | Sujith Kanakkassery |
| Poster | A Knowledge Graph Based Diagnostic Framework for Analyzing Hallucinations in Arabic Machine Reading Comprehension | Najwa Abdullah AlGhamdi, Sadam Al-Azani, Kwabena Nuamah, Alan Bundy |
| Poster | From Posts to Pressure: An Arabic Dataset about Stress and Mental-Health Monitoring | Wajdi Zaghouani, Eman Sedqy Shlkamy, Mabrouka Bessghaier |
| Shared task | HCMUS_TheFangs at AbjadGenEval Shared Task: Weighted Layer Pooling with Attention Fusion for Arabic AI-Generated Text Detection | Duy Minh Dao Sy, Nguyen Chi Tran, Trung Kiet Huynh, Nguyen Lam Phu Quy, Pham Phu Hoa, Nguyen Dinh Ha Duong |
| Shared task | HCMUS_The Fangs at AbjadStyleTransfer Shared Task: Learning to Query Style, Contrastive Representations for Zero-Shot Arabic Authorship Style Transfer | Duy Minh Dao Sy, Trung Kiet Huynh, Nguyen Chi Tran, Nguyen Lam Phu Quy, Pham Phu Hoa, Nguyen Dinh Ha Duong |
| Shared task | U-RoCX: An xLSTM based Approach to AI-Generated Urdu Text Detection | Rabee Adel Al-Qasem |
| Shared task | HCMUS_PrisonDilemma at AbjadAuthorID Shared Task: Less is More with Base Models | Trung Kiet Huynh, Duy Minh Dao Sy, Nguyen Chi Tran, Pham Phu Hoa, Nguyen Lam Phu Quy, Truong Bao Tran |
| Shared task | XLMR-Urdu at AbjadGenEval Shared Task: A Data-Centric Transformer-Based Approach for AI-Generated Urdu Text Detection | Mohannad Mohammad Hendi |
| Shared task | LoRAD: Low-Resource AI-Generated Text Detection with XLM-RoBERTa | Ali Zain |
| Shared task | A Stylometric and Statistical Pipeline for Urdu AI-Generated Text Classification | Saeed A. Anabtawi |
| Shared task | QalamID at AbjadAuthorID Shared Task: Morphology Matters, A Hybrid Ensemble for Arabic Authorship Attribution | Youssef Zaghloul |
| Shared task | Kashif-AI at AbjadGenEval Shared Task: A Transformer-based Approach for Arabic AI-Generated Text Detection | Fatimah Mohamed Emad Eldin |
| Shared task | NileUn at AbjadGenEval Shared Task: Contrastive Learning with Stacking Ensemble for Efficient Arabic AI-Generated Text Detection | Mohamed Hussein Mohamed, Shrouk Shalaby, Nesreen Mohamed |
| Shared task | REGLAT at AbjadGenEval: Multi-Model Ensemble Approach for Arabic AI-Generated Text Detection | Mariam Labib Francies, Nsrin Ashraf, Ahmed Megahed Fetouh, Hamada Nayel |
| Shared task | AyahVerse at AbjadGenEval Shared Task: Monolingual Precision and Cross-Lingual Analysis in Perso-Arabic AI Detection | Fizza Nawaz, Ibad-ur-Rehman Rashid, Uswa Abid, Junaid Hussain |
| Shared task | AbjadMed: Arabic Medical Text Classification at AbjadNLP 2026 | Pranav Gupta, Niranjan Kumar M, Balaji Nagarajan, Imed Zitouni, Mo El-Haj |
| Shared task | Uslub at AbjadAuthorID Shared Task: A Comparative Analysis of Traditional Machine Learning and Transformer-Based Models for Authorship Attribution in Arabic and Urdu | Shahad Alsuhaibani, Mohamed Alkaoud |
| Shared task | Arabic Author Attribution Using Transformer-Based Models: Insights from the AbjadAuthorID Shared Task | Ghader Kurdi |
| Shared task | R-R at AbjadAuthorID Shared Task: A Fine-Tuned Approach for Kurdish Authorship Identification | Rania Azad M. San Ahmed, Rebwar M. Nabi |
| Shared task | AbjadGenEval: Abjad AI Generated Text Detection Shared Task for Languages Using Arabic Script at AbjadNLP 2026 | Saad Ezzini, Irfan Ahmad, Salmane Chafik, Shadi Abudalfa, Mo El-Haj, Ahmed Abdelali, Mustafa Jarrar, Nadir Durrani, Hassan Sajjad, Farah Adeeba |
| Shared task | AbjadAuthorID: Authorship Identification for Arabic-Script Languages at AbjadNLP 2026 | Shadi Abudalfa, Saad Ezzini, Ahmed Abdelali, Mustafa Jarrar, Mo El-Haj, Nadir Durrani, Hassan Sajjad, Farah Adeeba, Sina Ahmadi |
| Shared task | AbjadStyleTransfer: Authorship Style Transfer for Arabic-Script Languages at AbjadNLP 2026 | Shadi Abudalfa, Saad Ezzini, Ahmed Abdelali, Mustafa Jarrar, Mo El-Haj, Nadir Durrani, Hassan Sajjad, Farah Adeeba |