• DocumentCode
    239793
  • Title

    Multilingual acquiring of e-content definition based on universal networking language

  • Author

    Sathiyamurthy, K. ; Panimalar, Dj ; Pandian, S. Lakshmana

  • Author_Institution
    Comput. Sci. & Eng., Pondicherry Eng. Coll., Pondicherry, India
  • fYear
    2014
  • fDate
    19-20 Dec. 2014
  • Firstpage
    240
  • Lastpage
    244
  • Abstract
    E-content information that exists in the web are available only in a particular language. But people who know only the local language may not be able to use these resources, though they are available. The UNL infrastructure intends to overcome the language barrier over the Internet. It is used to enconvert the information from any natural language into the form of universal semantic networks and then deconvert into any other required languages. A framework towards conversion of e-content from web that exhibit in the English language to UNL is presented in this paper. This approach involves conversion of dependency relation extracted from the parser into UNL relation and identifies pedagogical clues to determine the level of e-content according to the educational taxonomy.
  • Keywords
    Internet; computer aided instruction; grammars; natural language processing; semantic networks; English language; Internet; UNL relation; Web; dependency relation conversion; e-content conversion; e-content definition acquisition; e-learning; educational taxonomy; language barrier; lifelong learning context; natural language; parser; universal networking language; universal semantic networks; Computer science; Computers; Dictionaries; Educational institutions; Electronic learning; Natural languages; Semantics; Stanford parser; UNL; dependency tree; e-content; phrase structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MOOC, Innovation and Technology in Education (MITE), 2014 IEEE International Conference on
  • Conference_Location
    Patiala
  • Type

    conf

  • DOI
    10.1109/MITE.2014.7020280
  • Filename
    7020280