• DocumentCode
    653911
  • Title

    Folder classification of Urdu and Hindi language e-mail messages

  • Author

    Banday, M. Tariq ; Sheikh, Shafiya Afzal

  • Author_Institution
    Dept. of Electron., Univ. of Kashmir, Srinagar, India
  • fYear
    2013
  • fDate
    Oct. 31 2013-Nov. 1 2013
  • Firstpage
    59
  • Lastpage
    63
  • Abstract
    Automatic classification of e-mail messages into folders help recipients to organize messages in their local mail store. Both web and desktop e-mail client applications permit customization to support e-mail classification by defining rules to handle incoming e-mail messages. However, automatic language based folder classification of e-mail messages is neither supported by commercial web mail applications nor by desktop client mail applications. This paper reviews e-mail folder classification and language detection techniques. It proposes the use of Microsoft language translator API service to classify incoming e-mail messages into language specific folders. The evaluation of the proposed procedure by experimentations through a compatible e-mail client utilizing this service developed for the said purpose has shown significant classification accuracy.
  • Keywords
    application program interfaces; electronic mail; language translation; natural language processing; pattern classification; Hindi language e-mail messages; Microsoft language translator API service; Urdu language e-mail messages; Web e-mail client applications; automatic e-mail classification; automatic language based folder classification; desktop e-mail client applications; e-mail folder classification; language detection techniques; Chromium; Electronic mail; Engines; IP networks; Legged locomotion; Postal services; Semantics; E-mail Classification; E-mail Client; E-mail Language; Folder Classification; Language Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Knowledge Engineering (ICCKE), 2013 3th International eConference on
  • Conference_Location
    Mashhad
  • Print_ISBN
    978-1-4799-2092-1
  • Type

    conf

  • DOI
    10.1109/ICCKE.2013.6682847
  • Filename
    6682847