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November 15, 2025ComputersOpen Access

Arabic Natural Language Processing (NLP): A Comprehensive Review of Challenges, Techniques, and Emerging Trends

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Authors

AAAbdulaziz M. Alayba

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Overview

This review highlights challenges in Arabic NLP, showing techniques like sentiment analysis and machine translation for improvement.

Key Points

  • Normalisation and tokenisation address linguistic complexities in Arabic processing.
  • Key techniques include named entity recognition and part-of-speech tagging for enhanced understanding.
  • Analysis of various methods reveals ongoing challenges like ambiguity and dataset limitations.
  • Emerging trends like machine translation underscore the evolution of Arabic NLP methodologies.

Cite This Study

Abdulaziz M. Alayba (2025) studied this question.

synapsesocial.com/papers/69251994c0ce034ddc35388bhttps://doi.org/10.3390/computers14110497
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