• DocumentCode
    3756105
  • Title

    Transducers Cascades for an Automatic Recognition of Arabic Named Entities in Order to Establish Links to Free Resources

  • Author

    Fatma Ben Mesmia;Nathalie Friburger;Kais Haddar;Denis Maurel

  • Author_Institution
    Lab. MIRACL, Univ. of Sfax, Sfax, Tunisia
  • fYear
    2015
  • fDate
    4/1/2015 12:00:00 AM
  • Firstpage
    61
  • Lastpage
    67
  • Abstract
    Arabic named entities (ANE) are often sources of information. That is why they are used by several applications of natural language processing (NLP) mainly in information retrieval. In order to improve the relevance of the information obtained, links to free resources can be established. Indeed, the recognition of these entities requires the use of adequate formalisms. In this paper, we propose an approach based on transducer cascades which allows the recognition of ANE more precisely the dates. This categorycan be an integral part in the events and the names of places. The implementation of the developed transducers cascades elaborated by using the CasSys tool is available under the Unitex platform. The results are motivating.
  • Keywords
    "Transducers","Automata","Pragmatics","Dictionaries","Hidden Markov models","Natural language processing"
  • Publisher
    ieee
  • Conference_Titel
    Arabic Computational Linguistics (ACLing), 2015 First International Conference on
  • Print_ISBN
    978-1-4673-9154-2
  • Type

    conf

  • DOI
    10.1109/ACLing.2015.16
  • Filename
    7422281