@inproceedings{af65bbb4f81b45d4bb77aa88bc10fea9,
title = "Arabic Word-level Readability Visualization for Assisted Text Simplification",
abstract = "This demo paper presents a Google Docs add-on for automatic Arabic word-level readability visualization. The add-on includes a lemmatization component that is connected to a five-level readability lexicon and Arabic WordNet-based substitution suggestions. The add-on can be used for assessing the reading difficulty of a text and identifying difficult words as part of the task of manual text simplification. We make our add-on and its code publicly available.",
author = "Reem Hazim and Hind Saddiki and Bashar Alhafni and {Al Khalil}, Muhamed and Nizar Habash",
note = "Publisher Copyright: {\textcopyright} 2022 Association for Computational Linguistics.; 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations , EMNLP 2022 ; Conference date: 07-12-2022 Through 11-12-2022",
year = "2022",
doi = "10.18653/v1/2022.emnlp-demos.24",
language = "English (US)",
series = "EMNLP 2022 - 2022 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Demonstrations Session",
publisher = "Association for Computational Linguistics (ACL)",
pages = "242--249",
editor = "Wanxiang Che and Ekaterina Shutova",
booktitle = "EMNLP 2022 - 2022 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Demonstrations Session",
}