mlsanityData to 7 Oct 2026

The SAMER Arabic Text Simplification Corpus

arXiv 2404.18615 ↗First posted 29 Apr 2024cs.CLcited by 9

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Abstract (arXiv)

We present the SAMER Corpus, the first manually annotated Arabic parallel corpus for text simplification targeting school-aged learners. Our corpus comprises texts of 159K words selected from 15 publicly available Arabic fiction novels most of which were published between 1865 and 1955. Our corpus includes readability level annotations at both the document and word levels, as well as two simplified parallel versions for each text targeting learners at two different readability levels. We describe the corpus selection process, and outline the guidelines we followed to create the annotations and ensure their quality. Our corpus is publicly available to support and encourage research on Arabic text simplification, Arabic automatic readability assessment, and the development of Arabic pedagogical language technologies.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 18 of its 90 references that are in the map. First posted on arXiv 29 Apr 2024.

Builds on

18 of 90 references.

References · 18

  1. 2017Sentence Simplification with Deep Reinforcement Learningcited by 107
  2. 2019Controllable Sentence Simplificationcited by 78
  3. 2020Controllable Text Simplification with Explicit Paraphrasingcited by 53
  4. 2018Unsupervised Neural Text Simplificationcited by 29
  5. 2018Integrating Transformer and Paraphrase Rules for Sentence Simplificationcited by 29
  6. 2021Text Simplification by Taggingcited by 27
  7. 2018Dynamic Multi-Level Multi-Task Learning for Sentence Simplificationcited by 25
  8. 2018A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplificationcited by 24
  9. 2018Simple and Effective Text Simplification Using Semantic and Neural Methodscited by 20
  10. 2019A Corpus for Automatic Readability Assessment and Text Simplification of Germancited by 18
  11. 2022Klexikon: A German Dataset for Joint Summarization and Simplificationcited by 15
  12. 2021Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialectscited by 14
6 more
  1. 2013LDC Arabic Treebanks and Associated Corpora: Data Divisions Manualcited by 11
  2. 2018Sentence Simplification with Memory-Augmented Neural Networkscited by 10
  3. 2022Camelira: An Arabic Multi-Dialect Morphological Disambiguatorcited by 10
  4. 2022Arabic Word-level Readability Visualization for Assisted Text Simplificationcited by 7
  5. 2022Towards Arabic Sentence Simplification via Classification and Generative Approachescited by 3
  6. 2023Controllable Lexical Simplification for Englishcited by 2

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Cited by year

Citing papers per year: 2024: 3; 2025: 6.

9 papers.

  1. 2025A Large and Balanced Corpus for Fine-grained Arabic Readability Assessmentcited by 8
  2. 2025Opportunities and Challenges of LLMs in Education: An NLP Perspectivecited by 6
  3. 2024Gazelle: An Instruction Dataset for Arabic Writing Assistancecited by 4
  4. 2024Guidelines for Fine-grained Sentence-level Arabic Readability Annotationcited by 3
  5. 2025ArabJobs: A Multinational Corpus of Arabic Job Adscited by 3
  6. 2024Strategies for Arabic Readability Modelingcited by 2
  7. 2025!MSA at BAREC Shared Task 2025: Ensembling Arabic Transformers for Readability Assessmentcited by 0
  8. 2025mucAI at BAREC Shared Task 2025: Towards Uncertainty Aware Arabic Readability Assessmentcited by 0
  9. 2025Lexicon-Enriched Graph Modeling for Arabic Document Readability Predictioncited by 0