Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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TY - CHAP
T1 - THE NOVEL METHOD OF TEXT ATTRIBUTION BASED ON THE NUMERALS STATISTICS: A SURVEY OF RESULTS
T2 - book chapter
AU - Zenkov, Andrei Viacheslavovich
AU - Zenkov, Eugene Viacheslavovich
AU - Zenkov, Miroslav Andreevich
PY - 2021
Y1 - 2021
N2 - We present some results obtained in the framework of the project “The novel method of text attribution based on the numerals statistics” supported by a grant from the Russian Foundation for Basic Research, project No. 19-012-00199A. We suggest two approaches to the statistical analysis of texts, both based on the study of numerals occurrence in texts. The 1st approach is related to the study of the frequency distribution of various leading digits of numerals occurring in the text. These frequencies are unequal: the digit 1 is strongly dominating; usually, the incidence of subsequent digits is monotonically decreasing. The frequencies of occurrence of the digit 1, as well as, to a lesser extent, the digits 2 and 3, are usually a characteristic author's style feature, manifested in all (sufficiently long) literary texts of any author. This approach is convenient for testing whether a group of texts has common authorship: the latter is dubious if the frequency distributions are sufficiently different. The 2nd approach is the extension of the first one and requires the study of the frequency distribution of numerals themselves (not their leading digits). The approach yields non-trivial information about the author, stylistic and genre peculiarities of the texts and is suited for the advanced stylometric analysis. The proposed approaches are illustrated by examples of computer analysis of the literary texts in Russian, Czech, Lithuanian, English, and Turkish.
AB - We present some results obtained in the framework of the project “The novel method of text attribution based on the numerals statistics” supported by a grant from the Russian Foundation for Basic Research, project No. 19-012-00199A. We suggest two approaches to the statistical analysis of texts, both based on the study of numerals occurrence in texts. The 1st approach is related to the study of the frequency distribution of various leading digits of numerals occurring in the text. These frequencies are unequal: the digit 1 is strongly dominating; usually, the incidence of subsequent digits is monotonically decreasing. The frequencies of occurrence of the digit 1, as well as, to a lesser extent, the digits 2 and 3, are usually a characteristic author's style feature, manifested in all (sufficiently long) literary texts of any author. This approach is convenient for testing whether a group of texts has common authorship: the latter is dubious if the frequency distributions are sufficiently different. The 2nd approach is the extension of the first one and requires the study of the frequency distribution of numerals themselves (not their leading digits). The approach yields non-trivial information about the author, stylistic and genre peculiarities of the texts and is suited for the advanced stylometric analysis. The proposed approaches are illustrated by examples of computer analysis of the literary texts in Russian, Czech, Lithuanian, English, and Turkish.
UR - https://www.elibrary.ru/item.asp?id=46444847
M3 - Chapter
SN - 978-5-00174-293-7
SP - 153
EP - 201
BT - РАЗВИТИЕ ОБЩЕСТВА И НАУКИ В УСЛОВИЯХ ЦИФРОВОЙ ЭКОНОМИКИ
PB - Международный центр научного партнерства «Новая Наука»
CY - Петрозаводск
ER -
ID: 23765508