Strategies for Arabic Readability Modeling
Not on the map. Why?
Abstract (arXiv)
Automatic readability assessment is relevant to building NLP applications for education, content analysis, and accessibility. However, Arabic readability assessment is a challenging task due to Arabic's morphological richness and limited readability resources. In this paper, we present a set of experimental results on Arabic readability assessment using a diverse range of approaches, from rule-based methods to Arabic pretrained language models. We report our results on a newly created corpus at different textual granularity levels (words and sentence fragments). Our results show that combining different techniques yields the best results, achieving an overall macro F1 score of 86.7 at the word level and 87.9 at the fragment level on a blind test set. We make our code, data, and pretrained models publicly available.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 19 of its 55 references that are in the map. First posted on arXiv 3 Jul 2024.
Builds on
19 of 55 references.
References · 19
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2020AraBERT: Transformer-based Model for Arabic Language Understandingcited by 359
- 2020ARBERT & MARBERT: Deep Bidirectional Transformers for Arabiccited by 164
- 2021The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Modelscited by 118
- 2019Text Readability Assessment for Second Language Learnerscited by 54
- 2019Supervised and Unsupervised Neural Approaches to Text Readabilitycited by 45
- 2021Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Featurescited by 36
- 2020Linguistic Features for Readability Assessmentcited by 35
- 2019Controlling Text Complexity in Neural Machine Translationcited by 32
- 2021Trends, Limitations and Open Challenges in Automatic Readability Assessment Researchcited by 28
- 2023Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigationcited by 22
- 2023ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessmentcited by 19
7 more
- 2021Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialectscited by 14
- 2022A Neural Pairwise Ranking Model for Readability Assessmentcited by 14
- 2023Automatic Readability Assessment for Closely Related Languagescited by 9
- 2024The SAMER Arabic Text Simplification Corpuscited by 9
- 2017Language Modeling by Clustering with Word Embeddings for Text Readability Assessmentcited by 7
- 2022Arabic Word-level Readability Visualization for Assisted Text Simplificationcited by 7
- 2021Automatic Difficulty Classification of Arabic Sentencescited by 5
Built on by
Citing papers per year: 2024: 1; 2025: 1.
2 papers.