Language time series analysis

Kosmas Kosmidis, Alkiviadis Kalampokis and Panos Argyrakis

Physica A: Statistical Mechanics and its Applications, 2006, vol. 370, issue 2, 808-816

Abstract: We use the detrended fluctuation analysis (DFA) and the Grassberger–Proccacia analysis (GP) methods in order to study language characteristics. Despite that we construct our signals using only word lengths or word frequencies, excluding in this way huge amount of information from language, the application of GP analysis indicates that linguistic signals may be considered as the manifestation of a complex system of high dimensionality, different from random signals or systems of low dimensionality such as the Earth climate. The DFA method is additionally able to distinguish a natural language signal from a computer code signal. This last result may be useful in the field of cryptography.

Keywords: Language simulations; Detrended fluctuation analysis; Grassberger–Proccacia analysis (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:370:y:2006:i:2:p:808-816

DOI: 10.1016/j.physa.2006.02.042

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