@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 = "Funding Information: This project is funded by a New York University Abu Dhabi Research Enhancement Fund grant. We thank Zhengyang Jiang, Go Inoue, and Ossama Obeid for helpful discussions. Publisher Copyright: {\textcopyright} 2022 Association for Computational Linguistics.; 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 ; Conference date: 07-12-2022 Through 11-12-2022",
year = "2022",
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",
}