• DocumentCode
    3627419
  • Title

    Investigation of Zipf’s ‘law-of-meaning’ on Turkish corpora

  • Author

    Bahar Ilgen;Bahar Karaoglan

  • Author_Institution
    Istanbul K?lt?r University, Dept. of Computer Engineering, 34156, Turkey
  • fYear
    2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Zipf´s law-of-meaning states that the number of meanings of a word is related to its frequency. Words that are seen more frequently tend to have more meanings than the ones that are seen less frequently. This law, like the other Zipfian laws is consistent with the principal of least effort. In this study we hope to establish a basis for the number of meanings a word can attain in Turkish with respect to its frequency in a document. Zipfian parameters are derived from two Turkish corpora on which the meanings are labeled. It is hoped that the results of this study contributes in resolving ambiguity of word senses in Turkish.
  • Keywords
    "Frequency","Natural languages","Vocabulary","Statistical analysis","Speech","Natural language processing","Knowledge based systems","Humans","Visualization","Training data"
  • Publisher
    ieee
  • Conference_Titel
    Computer and information sciences, 2007. iscis 2007. 22nd international symposium on
  • Print_ISBN
    978-1-4244-1363-8
  • Type

    conf

  • DOI
    10.1109/ISCIS.2007.4456846
  • Filename
    4456846