Arabic Word-level Readability Visualization for Assisted Text Simplification
Reem Hazim, Hind Saddiki, Bashar Alhafni, Muhamed Al Khalil, Nizar Habash
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.- Anthology ID:
- 2022.emnlp-demos.24
- Volume:
- Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
- Month:
- December
- Year:
- 2022
- Address:
- Abu Dhabi, UAE
- Editors:
- Wanxiang Che, Ekaterina Shutova
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 242–249
- Language:
- URL:
- https://aclanthology.org/2022.emnlp-demos.24
- DOI:
- 10.18653/v1/2022.emnlp-demos.24
- Cite (ACL):
- Reem Hazim, Hind Saddiki, Bashar Alhafni, Muhamed Al Khalil, and Nizar Habash. 2022. Arabic Word-level Readability Visualization for Assisted Text Simplification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 242–249, Abu Dhabi, UAE. Association for Computational Linguistics.
- Cite (Informal):
- Arabic Word-level Readability Visualization for Assisted Text Simplification (Hazim et al., EMNLP 2022)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2022.emnlp-demos.24.pdf