Fractal-based analysis of sign language
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F20%3A73598654" target="_blank" >RIV/61989592:15210/20:73598654 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15310/20:73598654 RIV/61989592:15410/20:73598654
Result on the web
<a href="http://10.1016/j.cnsns.2020.105214" target="_blank" >http://10.1016/j.cnsns.2020.105214</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.cnsns.2020.105214" target="_blank" >10.1016/j.cnsns.2020.105214</a>
Alternative languages
Result language
angličtina
Original language name
Fractal-based analysis of sign language
Original language description
Two theoretical theorems are formulated for an approximative calculation of the Hausdorff dimension to a fractal model determined by time series as the reciprocal value of an arithmetic mean of the numerically calculated and statistically verified Hurst exponents on given scaling levels. After providing relevant details from quantitative linguistics, these theorems are applied to a concrete sign language text. Our experiment so relies on the fractal analysis of a Czech sign language text consisting of 74 sentences, 247 clauses and 893 signs, i.e. on three scaling levels. Its results are discussed in terms of long-time memory (autocorrelation) effects, usually called as persistence.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/GA17-18149S" target="_blank" >GA17-18149S: Theoretical Basis for Teaching Czech Sign Language Tested through Quantitative Linguistic Methods</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Communications in Nonlinear Science and Numerical Simulation
ISSN
1007-5704
e-ISSN
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Volume of the periodical
2020
Issue of the periodical within the volume
84C
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
14
Pages from-to
"Nestránkováno"
UT code for WoS article
000523556300016
EID of the result in the Scopus database
2-s2.0-85078726088