Computer and natural language texts—A comparison based on long‐range correlations
Peter Kokol,
Vili Podgorelec,
Milan Zorman,
Tatjana Kokol and
Tatjana Njivar
Journal of the American Society for Information Science, 1999, vol. 50, issue 14, 1295-1301
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.
Date: 1999
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1002/(SICI)1097-4571(1999)50:143.0.CO;2-5
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jamest:v:50:y:1999:i:14:p:1295-1301
Ordering information: This journal article can be ordered from
https://doi.org/10.1002/(ISSN)1097-4571
Access Statistics for this article
More articles in Journal of the American Society for Information Science from Association for Information Science & Technology
Bibliographic data for series maintained by Wiley Content Delivery ().