Computer and natural language texts-A comparison based on long-range correlations
✍ Scribed by Kokol, Peter ;Podgorelec, Vili ;Zorman, Milan ;Kokol, Tatjana ;Njivar, Tatjana
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 104 KB
- Volume
- 50
- Category
- Article
- ISSN
- 0002-8231
No coin nor oath required. For personal study only.
✦ Synopsis
All our knowledge brings us nearer to our ignorance, all our ignorance brings us nearer to death, but nearness to death no nearer to God.
Where is the Life we have lost in living? Where is the wisdom we have lost in knowledge? Where is the knowledge we have lost in information?
T. S. Eliot, The Rock
"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.