A comparative dynamical analysis of Hebrew texts

Three Hebrew texts, one of them the Hebrew bible, are investigated using dynamical analysis. First, the average mutual information for each of the texts is determined. The first minimum occurs at T=3 in all three cases, suggesting that 3-letter words are sufficient to study the dynamical properties...

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Main Authors: Abraham Boyarsky, Pawel Góra
Format: Article
Language:English
Published: Wiley 2000-01-01
Series:Discrete Dynamics in Nature and Society
Subjects:
Online Access:http://dx.doi.org/10.1155/S1026022600000273
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author Abraham Boyarsky
Pawel Góra
author_facet Abraham Boyarsky
Pawel Góra
author_sort Abraham Boyarsky
collection DOAJ
description Three Hebrew texts, one of them the Hebrew bible, are investigated using dynamical analysis. First, the average mutual information for each of the texts is determined. The first minimum occurs at T=3 in all three cases, suggesting that 3-letter words are sufficient to study the dynamical properties of the texts. Using 3-letter words as the state space for each of the text, we construct a Markov chain model and compute the relative measure–theoretic entropy for each of the texts and use this tool as a means of comparing the information content of the three texts.
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series Discrete Dynamics in Nature and Society
spelling doaj-art-d2609b8a688047c7afe0a585d60fb6b52025-08-20T03:24:08ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2000-01-014429329510.1155/S1026022600000273A comparative dynamical analysis of Hebrew textsAbraham Boyarsky0Pawel Góra1Department of Mathematics and Statistics, Concordia University, 7141 Sherbrooke Street West, Montreal H4B 1R6, Quebec, CanadaDepartment of Mathematics and Statistics, Concordia University, 7141 Sherbrooke Street West, Montreal H4B 1R6, Quebec, CanadaThree Hebrew texts, one of them the Hebrew bible, are investigated using dynamical analysis. First, the average mutual information for each of the texts is determined. The first minimum occurs at T=3 in all three cases, suggesting that 3-letter words are sufficient to study the dynamical properties of the texts. Using 3-letter words as the state space for each of the text, we construct a Markov chain model and compute the relative measure–theoretic entropy for each of the texts and use this tool as a means of comparing the information content of the three texts.http://dx.doi.org/10.1155/S1026022600000273Text analysisMarkov chainsEntropyDynamical systemsMutual information.
spellingShingle Abraham Boyarsky
Pawel Góra
A comparative dynamical analysis of Hebrew texts
Discrete Dynamics in Nature and Society
Text analysis
Markov chains
Entropy
Dynamical systems
Mutual information.
title A comparative dynamical analysis of Hebrew texts
title_full A comparative dynamical analysis of Hebrew texts
title_fullStr A comparative dynamical analysis of Hebrew texts
title_full_unstemmed A comparative dynamical analysis of Hebrew texts
title_short A comparative dynamical analysis of Hebrew texts
title_sort comparative dynamical analysis of hebrew texts
topic Text analysis
Markov chains
Entropy
Dynamical systems
Mutual information.
url http://dx.doi.org/10.1155/S1026022600000273
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