• DocumentCode
    2815805
  • Title

    Turkish word n-gram analyzing algorithms for a large scale Turkish corpus - TurCo

  • Author

    Çebi, Yalçin ; Dalkiliç, Gökhan

  • Author_Institution
    Dept. of Comput. Eng., Dokuz Eylul Univ., Izmir, Turkey
  • Volume
    2
  • fYear
    2004
  • fDate
    5-7 April 2004
  • Firstpage
    236
  • Abstract
    To calculate some statistical properties of a language, first you need to take some samples of that language. That sample is called a corpus. An unbalanced large scale Turkish text corpus (TurCo) having ∼362 MB capacity and more than 50 million words was prepared by using 12 different resources including Web sites and novels in Turkish language. Different algorithms were tested to obtain the n-gram (1≤n≤5) values. Efficiencies of different algorithms have been examined by applying them onto the each piece of the corpus one by one. Only detailed results of the two algorithms created without using database tables are given, because all the other algorithms need to run more than one day which makes those tests inefficient.
  • Keywords
    dictionaries; linguistics; natural languages; text analysis; Turkish text corpus; language statistical properties; programming language; word n-gram analyzing algorithm; Algorithm design and analysis; Assembly; Books; Computer science; Databases; Error correction; Large-scale systems; Natural languages; Telephony; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on
  • Print_ISBN
    0-7695-2108-8
  • Type

    conf

  • DOI
    10.1109/ITCC.2004.1286638
  • Filename
    1286638