The Nonparametric Method for Differentiation of Phonostatistical Structures of Authorial Style
Author(s) -
Iryna Khomytska,
Vasyl Teslyuk,
Natalia Kryvinska,
Vasyl Beregovskyi
Publication year - 2019
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2019.09.441
Subject(s) - computer science , style (visual arts) , nonparametric statistics , literature , statistics , art , mathematics
For differentiation of phonostatistical structures of authorial styles, a mеthоd of cоmplex anаlysis of differentiation of phonostatistical structures of authorial style has been developed. The method is based on a combination of the three statistical methods: the Student’s t-test, the Kolmogorov-Smirnov’s test and the chi-square test. There is one nonparametric method (the Kolmogorov-Smirnov’s test) in the proposed combination of methods. The nonparametric method does not depend on the normal distribution law and reduces time consumption for calculation. The strength of the Kolmogorov-Smirnov’s test makes it possible to improve test validity of authorship attribution of a text. The method has been realized on the Java programming language which secures platform-independence.
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