IDEAS home Printed from https://ideas.repec.org/a/bla/jamest/v50y1999i14p1295-1301.html
   My bibliography  Save this article

Computer and natural language texts—A comparison based on long‐range correlations

Author

Listed:
  • Peter Kokol
  • Vili Podgorelec
  • Milan Zorman
  • Tatjana Kokol
  • Tatjana Njivar

Abstract

“Long‐range power low correlation” (LRC) is defined as a maximal propagation distance of the effect of some disturbance within a system found in many systems that can be represented as strings of symbols. LRC between characters has also been identified in natural language texts. The aim of this article is to show that long‐range power law correlation can also be found in computer programs, meaning that some common laws hold for both natural language texts and computer programs. This fact enables one to draw parallels between these two different types of human writings, and also enables one to measure the differences between them.

Suggested Citation

  • Peter Kokol & Vili Podgorelec & Milan Zorman & Tatjana Kokol & Tatjana Njivar, 1999. "Computer and natural language texts—A comparison based on long‐range correlations," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(14), pages 1295-1301.
    • Handle: RePEc:bla:jamest:v:50:y:1999:i:14:p:1295-1301
    DOI: 10.1002/(SICI)1097-4571(1999)50:143.0.CO;2-5
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/(SICI)1097-4571(1999)50:143.0.CO;2-5
    Download Restriction: no
    File URL: https://libkey.io/10.1002/(SICI)1097-4571(1999)50:143.0.CO;2-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jamest:v:50:y:1999:i:14:p:1295-1301. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.