Recent Advances in NLP: The Case of Arabic Language

Faculty Science Year: 2020
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Studies in Computational Intelligence Springer Volume:
Keywords : Recent Advances , NLP: , Case , Arabic Language    
Abstract:
In light of the rapid rise of new trends and applications in various natural language processing tasks, this book presents high-quality research in the field. Each chapter addresses a common challenge in a theoretical or applied aspect of intelligent natural language processing related to Arabic language. Many challenges encountered during the development of the solutions can be resolved by incorporating language technology and artificial intelligence. The topics covered include machine translation; speech recognition; morphological, syntactic, and semantic processing; information retrieval; text classification; text summarization; sentiment analysis; ontology construction; Arabizi translation; Arabic dialects; Arabic lemmatization; and building and evaluating linguistic resources. This book is a valuable reference for scientists, researchers, and students from academia and industry interested in computational linguistics and artificial intelligence, especially for Arabic linguistics and related areas.
   
     
 
       

Author Related Publications

  • Mohamed El Sayed Ahmed Muhamed, "A Grunwald–Letnikov based Manta ray foraging optimizer for global optimization and image segmentation", Elsevier, 2020 More
  • Mohamed El Sayed Ahmed Muhamed, "A novel hybrid gradient-based optimizer and grey wolf optimizer feature selection method for human activity recognition using smartphone sensors", MDPI, 2021 More
  • Mohamed El Sayed Ahmed Muhamed, "Efficient schemes for playout latency reduction in P2P-VOD systems", Springer, 2018 More
  • Mohamed El Sayed Ahmed Muhamed, "a novel algorithm for source localization based on nonnegative matrix factroization using \alpha 'beta divergence in chochleagram", WSEAS, 2013 More
  • Mohamed El Sayed Ahmed Muhamed, "Open cluster membership probability based on K-means clustering algorithm", Springer, 2016 More

Department Related Publications

  • Mohamed El Sayed Ahmed Muhamed, "a novel algorithm for source localization based on nonnegative matrix factroization using \alpha 'beta divergence in chochleagram", WSEAS, 2013 More
  • Wael Mohamed Khadr Salim, "a novel algorithm for source localization based on nonnegative matrix factroization using \alpha 'beta divergence in chochleagram", WSEAS, 2013 More
  • Rodyna Ahmed Mahmoud, "Some methods for generating proximities by relations", .ijser, 2013 More
  • Heba Ibrahim Mustafa, "Soft proximity", World's Pioneer Iceland, 2013 More
  • Heba Ibrahim Mustafa, "On Interval-Valued Supra-Fuzzy Syntopogenous Structure", Hindawi Publishing Corporation, 2012 More
Tweet