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Arabic natural language processing: An overview

arXiv 1903.02784 ↗First posted 7 Mar 2019cs.CLcited by 20

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Abstract (arXiv)

Arabic is recognised as the 4th most used language of the Internet. Arabic has three main varieties: (1) classical Arabic (CA), (2) Modern Standard Arabic (MSA), (3) Arabic Dialect (AD). MSA and AD could be written either in Arabic or in Roman script (Arabizi), which corresponds to Arabic written with Latin letters, numerals and punctuation. Due to the complexity of this language and the number of corresponding challenges for NLP, many surveys have been conducted, in order to synthesise the work done on Arabic. However these surveys principally focus on two varieties of Arabic (MSA and AD, written in Arabic letters only), they are slightly old (no such survey since 2015) and therefore do not cover recent resources and tools. To bridge the gap, we propose a survey focusing on 90 recent research papers (74% of which were published after 2015). Our study presents and classifies the work done on the three varieties of Arabic, by concentrating on both Arabic and Arabizi, and associates each work to its publicly available resources whenever available.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Mar 2019.

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Citing papers per year: 2021: 4; 2022: 1; 2023: 6; 2024: 4; 2025: 2; 2026: 3.

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  1. 2021Masader: Metadata Sourcing for Arabic Text and Speech Data Resourcescited by 20
  2. 2023A Survey of Corpora for Germanic Low-Resource Languages and Dialectscited by 16
  3. 2022Masader Plus: A New Interface for Exploring +500 Arabic NLP Datasetscited by 8
  4. 2023A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trendscited by 8
  5. 2023AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processingcited by 7
  6. 2023Prediction of Arabic Legal Rulings using Large Language Modelscited by 6
  7. 2021Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/ French and Englishcited by 5
  8. 2024Evaluation of Semantic Search and its Role in Retrieved-Augmented-Generation (RAG) for Arabic Languagecited by 4
  9. 2021Dialect Identification in Nuanced Arabic Tweets Using Farasa Segmentation and AraBERTcited by 1
  10. 2021sarcasm detection and quantification in arabic tweetscited by 1
  11. 2024Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health carecited by 1
  12. 2024A Systematic Survey of Natural Language Processing for the Greek Languagecited by 1
8 more
  1. 2023Universal Language Modelling agentcited by 0
  2. 2023Dotless Representation of Arabic Text: Analysis and Modelingcited by 0
  3. 2024PersianRAG: A Retrieval-Augmented Generation System for Persian Languagecited by 0
  4. 2025An Exploration of Knowledge Editing for Arabiccited by 0
  5. 2025AutoArabic: A Three-Stage Framework for Localizing Video-Text Retrieval Benchmarkscited by 0
  6. 2026Saar-Voice: A Multi-Speaker Saarbr"ucken Dialect Speech Corpuscited by 0
  7. 2026A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluationcited by 0
  8. 2026A Comprehensive Analysis of Arabic Natural Language Processing Research: Trends, Topic Evolution, and Research Gaps -- A Bibliometric and Topic-Based Studycited by 0