Detrended fluctuation analysis in natural languages using non-corpus parametrization
| Autor: | Avadis Hacinliyan, Gökhan Şahin, Murat Erentürk |
|---|---|
| Přispěvatelé: | Şahin, G., Erentürk, M., Hacinliyan, A., Yeditepe Üniversitesi |
| Rok vydání: | 2009 |
| Předmět: |
business.industry
Turkish General Mathematics Applied Mathematics General Physics and Astronomy Statistical and Nonlinear Physics computer.software_genre language.human_language Correlation Statistics language Detrended fluctuation analysis Entropy (information theory) Artificial intelligence business computer Natural language Natural language processing Mathematics |
| Zdroj: | Chaos, Solitons & Fractals. 41:198-205 |
| ISSN: | 0960-0779 |
| DOI: | 10.1016/j.chaos.2007.11.026 |
| Popis: | The existence of long-range correlation in English and Korean had been reported by Montemurro et al. and Jaemi Bhan et al. This work extends this line of research to other languages (mainly Turkish), compares the differences between a meaningful text and a randomly created text by means of detrended fluctuation analysis and diffusion entropy analysis using a newly proposed parametrization which does not depend on corpus. The results imply a unique long-range correlation for each language analyzed, although similarities exist for languages of the same family. © 2007 Elsevier Ltd. All rights reserved. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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