Arabic Word-level Readability Visualization for Assisted Text Simplification

2022/10/19 by Reem Hazim, Hazim, Reem, Hind Saddiki +7 · 3 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification

paper · pdf · doi:10.48550/arxiv.2210.10672

openalex publication_date 2022/10/19 · openalex created_date 2022/10/22 · openalex updated_date 2026/07/28

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.

Cited by

• Readability Measures and Automatic Text Simplification: In the Search of a Construct
• Lexicon-Enriched Graph Modeling for Arabic Document Readability Prediction
• Opportunities and Challenges of LLMs in Education: An NLP Perspective

Related

• Strategies for Arabic Readability Modeling
• Efficient Measuring of Readability to Improve Documents Accessibility for Arabic Language Learners
• A Large and Balanced Corpus for Fine-grained Arabic Readability Assessment
• Lexicon-Enriched Graph Modeling for Arabic Document Readability Prediction
• Guidelines for Fine-grained Sentence-level Arabic Readability Annotation