@inproceedings{chirkunov-etal-2025-arwi,
title = "{ARWI}: {A}rabic Write and Improve",
author = "Chirkunov, Kirill and
Alhafni, Bashar and
Qwaider, Chatrine and
Habash, Nizar and
Briscoe, Ted",
editor = "Padmakumar, Vishakh and
Gero, Katy and
Wambsganss, Thiemo and
Sterman, Sarah and
Huang, Ting-Hao and
Zhou, David and
Chung, John",
booktitle = "Proceedings of the Fourth Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2025)",
month = may,
year = "2025",
address = "Albuquerque, New Mexico, US",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.in2writing-1.2/",
doi = "10.18653/v1/2025.in2writing-1.2",
pages = "11--18",
ISBN = "979-8-89176-239-8",
abstract = "Although Arabic is spoken by over 400 million people, advanced Arabic writing assistance tools remain limited. To address this gap, we present ARWI, a new writing assistant that helps learners improve essay writing in Modern Standard Arabic. ARWI is the first publicly available Arabic writing assistant to include a prompt database for different proficiency levels, an Arabic text editor, state-of-the-art grammatical error detection and correction, and automated essay scoring aligned with the Common European Framework of Reference standards for language attainment (https://arwi.mbzuai.ac.ae/). Moreover, ARWI can be used to gather a growing auto-annotated corpus, facilitating further research on Arabic grammar correction and essay scoring, as well as profiling patterns of errors made by native speakers and non-native learners. A preliminary user study shows that ARWI provides actionable feedback, helping learners identify grammatical gaps, assess language proficiency, and guide improvement."
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<abstract>Although Arabic is spoken by over 400 million people, advanced Arabic writing assistance tools remain limited. To address this gap, we present ARWI, a new writing assistant that helps learners improve essay writing in Modern Standard Arabic. ARWI is the first publicly available Arabic writing assistant to include a prompt database for different proficiency levels, an Arabic text editor, state-of-the-art grammatical error detection and correction, and automated essay scoring aligned with the Common European Framework of Reference standards for language attainment (https://arwi.mbzuai.ac.ae/). Moreover, ARWI can be used to gather a growing auto-annotated corpus, facilitating further research on Arabic grammar correction and essay scoring, as well as profiling patterns of errors made by native speakers and non-native learners. A preliminary user study shows that ARWI provides actionable feedback, helping learners identify grammatical gaps, assess language proficiency, and guide improvement.</abstract>
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%0 Conference Proceedings
%T ARWI: Arabic Write and Improve
%A Chirkunov, Kirill
%A Alhafni, Bashar
%A Qwaider, Chatrine
%A Habash, Nizar
%A Briscoe, Ted
%Y Padmakumar, Vishakh
%Y Gero, Katy
%Y Wambsganss, Thiemo
%Y Sterman, Sarah
%Y Huang, Ting-Hao
%Y Zhou, David
%Y Chung, John
%S Proceedings of the Fourth Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2025)
%D 2025
%8 May
%I Association for Computational Linguistics
%C Albuquerque, New Mexico, US
%@ 979-8-89176-239-8
%F chirkunov-etal-2025-arwi
%X Although Arabic is spoken by over 400 million people, advanced Arabic writing assistance tools remain limited. To address this gap, we present ARWI, a new writing assistant that helps learners improve essay writing in Modern Standard Arabic. ARWI is the first publicly available Arabic writing assistant to include a prompt database for different proficiency levels, an Arabic text editor, state-of-the-art grammatical error detection and correction, and automated essay scoring aligned with the Common European Framework of Reference standards for language attainment (https://arwi.mbzuai.ac.ae/). Moreover, ARWI can be used to gather a growing auto-annotated corpus, facilitating further research on Arabic grammar correction and essay scoring, as well as profiling patterns of errors made by native speakers and non-native learners. A preliminary user study shows that ARWI provides actionable feedback, helping learners identify grammatical gaps, assess language proficiency, and guide improvement.
%R 10.18653/v1/2025.in2writing-1.2
%U https://aclanthology.org/2025.in2writing-1.2/
%U https://doi.org/10.18653/v1/2025.in2writing-1.2
%P 11-18
Markdown (Informal)
[ARWI: Arabic Write and Improve](https://aclanthology.org/2025.in2writing-1.2/) (Chirkunov et al., In2Writing 2025)
ACL
- Kirill Chirkunov, Bashar Alhafni, Chatrine Qwaider, Nizar Habash, and Ted Briscoe. 2025. ARWI: Arabic Write and Improve. In Proceedings of the Fourth Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2025), pages 11–18, Albuquerque, New Mexico, US. Association for Computational Linguistics.