Non Corpus Parametrization for Studying Long-range Correlations in Natural Languages.

Autor: Şahin, Gökhan, Aybar, O. Özgür, Hacinliyan, Avadis
Předmět:
Zdroj: Journal of Applied Functional Analysis; Oct2009, Vol. 4 Issue 4, p636-641, 6p, 1 Chart, 6 Graphs
Abstrakt: Long-range correlation in a number of different languages have been reported by many authors including Montemurro et al. and Jaemi Bhan et al. This work proposes a non-corpus parametrization and uses it to extend this line of research to other languages, compares the differences between a meaningful and a randomly created English text by means of Detrended Fluctuation Analysis. The results imply a unique long-range correlation for each language analyzed, although similarities exist for languages of the same family. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index