• DocumentCode
    922173
  • Title

    Zipf´s law and entropy (Corresp.)

  • Author

    Yavuz, D.

  • Volume
    20
  • Issue
    5
  • fYear
    1974
  • fDate
    9/1/1974 12:00:00 AM
  • Firstpage
    650
  • Lastpage
    650
  • Abstract
    The estimate of the entropy of a language by assuming that the word probabilities follow Zipf´s law is discussed briefly. Previous numerical results [3] on the vocabulary size implied by Zipf´s law and entropy per word are corrected. The vocabulary size should be 12 366 words (not 8727 words) and the entropy per word 9.27 bits (not 11.82).
  • Keywords
    Entropy functions; Languages; Entropy; Frequency estimation; Humans; Natural languages; Vocabulary;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.1974.1055269
  • Filename
    1055269
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=922173