Arabic Word-level Readability Visualization for Assisted Text Simplification
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Abstract (arXiv)
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.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 3 of its 39 references that are in the map. First posted on arXiv 19 Oct 2022.
Builds on
3 of 39 references.
References · 3
Built on by
Citing papers per year: 2024: 4; 2025: 3.
7 papers.
- 2024The SAMER Arabic Text Simplification Corpuscited by 9
- 2025Opportunities and Challenges of LLMs in Education: An NLP Perspectivecited by 6
- 2024Gazelle: An Instruction Dataset for Arabic Writing Assistancecited by 4
- 2024Strategies for Arabic Readability Modelingcited by 2
- 2024Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominalscited by 1
- 2025Lexicon-Enriched Graph Modeling for Arabic Document Readability Predictioncited by 0
- 2025Readability Measures and Automatic Text Simplification: In the Search of a Constructcited by 0
- 2025Readability Measures and Automatic Text Simplification: In the Search of a Construct12 Nov 2025
- 2025Lexicon-Enriched Graph Modeling for Arabic Document Readability Prediction26 Sep 2025
- 2025Opportunities and Challenges of LLMs in Education: An NLP Perspective30 Jul 2025
- 2024Gazelle: An Instruction Dataset for Arabic Writing Assistance23 Oct 2024
- 2024Strategies for Arabic Readability Modeling3 Jul 2024
- 2024The SAMER Arabic Text Simplification Corpus29 Apr 2024
- 2024Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals1 Feb 2024