Kokol, P.; Podgorelec, V.; Zorman, M.; Kokol, T.; Njivar, T.: Computer and natural language texts : a comparison based on long-range correlations (1999)
0.05
0.053696655 = product of:
0.16108996 = sum of:
0.07946275 = weight(_text_:computer in 4299) [ClassicSimilarity], result of:
0.07946275 = score(doc=4299,freq=6.0), product of:
0.16231956 = queryWeight, product of:
3.6545093 = idf(docFreq=3109, maxDocs=44218)
0.044416238 = queryNorm
0.48954517 = fieldWeight in 4299, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.6545093 = idf(docFreq=3109, maxDocs=44218)
0.0546875 = fieldNorm(doc=4299)
0.081627205 = product of:
0.16325441 = sum of:
0.16325441 = weight(_text_:programs in 4299) [ClassicSimilarity], result of:
0.16325441 = score(doc=4299,freq=4.0), product of:
0.25748047 = queryWeight, product of:
5.79699 = idf(docFreq=364, maxDocs=44218)
0.044416238 = queryNorm
0.6340458 = fieldWeight in 4299, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
5.79699 = idf(docFreq=364, maxDocs=44218)
0.0546875 = fieldNorm(doc=4299)
0.5 = coord(1/2)
0.33333334 = coord(2/6)
- 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 correlations 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 2 different types of human writings, and also enables one to measure the differences between them
