@inproceedings{elbahnasawi-etal-2026-qayyem,
title = "Qayyem: A Real-time Platform for Scoring Proficiency of {A}rabic Essays",
author = "Elbahnasawi, Hoor Tamer and
Sayed, Marwan and
Eltanbouly, Sohaila and
Brahamia, Fatima Zahra and
Elsayed, Tamer",
editor = "Durrett, Greg and
Jian, Ping",
booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 3: System Demonstrations)",
month = jul,
year = "2026",
address = "San Diego, California, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.acl-demo.53/",
pages = "536--545",
ISBN = "979-8-89176-392-0",
abstract = "Over the past years, Automated Essay Scoring (AES) systems have gained increasing attention as scalable and consistent solutions for assessing proficiency of student writing. Despite recent progress, support for Arabic AES remains limited due to linguistic complexity and scarcity of large publicly-available annotated datasets. In this work, we present Qayyem, a Web-based platform designed to support Arabic AES by providing an integrated workflow for assignment creation, batch essay upload, scoring configuration, and per-trait essay evaluation. Qayyem abstracts the technical complexity of interacting with scoring server APIs, allowing instructors to access advanced scoring services through a user-friendly interface. The platform deploys a number of state-of-the-art Arabic essay scoring models with different effectiveness and efficiency figures."
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%0 Conference Proceedings
%T Qayyem: A Real-time Platform for Scoring Proficiency of Arabic Essays
%A Elbahnasawi, Hoor Tamer
%A Sayed, Marwan
%A Eltanbouly, Sohaila
%A Brahamia, Fatima Zahra
%A Elsayed, Tamer
%Y Durrett, Greg
%Y Jian, Ping
%S Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, United States
%@ 979-8-89176-392-0
%F elbahnasawi-etal-2026-qayyem
%X Over the past years, Automated Essay Scoring (AES) systems have gained increasing attention as scalable and consistent solutions for assessing proficiency of student writing. Despite recent progress, support for Arabic AES remains limited due to linguistic complexity and scarcity of large publicly-available annotated datasets. In this work, we present Qayyem, a Web-based platform designed to support Arabic AES by providing an integrated workflow for assignment creation, batch essay upload, scoring configuration, and per-trait essay evaluation. Qayyem abstracts the technical complexity of interacting with scoring server APIs, allowing instructors to access advanced scoring services through a user-friendly interface. The platform deploys a number of state-of-the-art Arabic essay scoring models with different effectiveness and efficiency figures.
%U https://aclanthology.org/2026.acl-demo.53/
%P 536-545
Markdown (Informal)
[Qayyem: A Real-time Platform for Scoring Proficiency of Arabic Essays](https://aclanthology.org/2026.acl-demo.53/) (Elbahnasawi et al., ACL 2026)
ACL
- Hoor Tamer Elbahnasawi, Marwan Sayed, Sohaila Eltanbouly, Fatima Zahra Brahamia, and Tamer Elsayed. 2026. Qayyem: A Real-time Platform for Scoring Proficiency of Arabic Essays. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 536–545, San Diego, California, United States. Association for Computational Linguistics.