• DocumentCode
    3127135
  • Title

    N-gram based algorithm for distinguishing between Hindi and Sanskrit texts

  • Author

    Sreejith, C. ; Indu, M. ; Raj, P. C. Reghu

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Gov. Eng. Coll., Palakkad, India
  • fYear
    2013
  • fDate
    4-6 July 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Language Identification (LI) is the process of determining the natural language in which the given content is written. It is an important preprocessing step in many tasks of Natural Language Processing (NLP). In a multilingual society like India, automatic language identification has a wider scope, since it would be a vital step in bridging the digital divide between the Indian masses and others. In this paper, we present an N-gram based method of language identification for documents written in Hindi and Sanskrit, which have the same script and the results are shown. The technique can also be applied to other pairs of Indian languages sharing common scripts.
  • Keywords
    Digital Divide; natural language processing; text analysis; Hindi texts; Indian languages; N-gram based algorithm; N-gram based method; NLP; Sanskrit texts; automatic language identification; digital divide; multilingual society; natural language processing; preprocessing step; Educational institutions; Natural language processing; Pragmatics; Predictive models; Testing; Training; Hindi; Language identification; N-gram; Natural language processing; Sanskrit;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
  • Conference_Location
    Tiruchengode
  • Print_ISBN
    978-1-4799-3925-1
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2013.6726777
  • Filename
    6726777