Ionova S.V., Ogorelkov I.V. Personality Speech Diagnostics in Author Identification Based on Gender Parameter: Quantitative Approach

DOI: https://doi.org/10.15688/jvolsu2.2020.1.10

Svetlana V. Ionova

Doctor of Sciences (Philology), Professor, Department of General and Russian
Linguistics, Pushkin State Russian Language Institute

Akademika Volgina St., 6, 117485 Moscow, Russia

Chief Expert, Moscow Research Center

Nizhnyaya Syromyatnicheskaya St., 5, Bld. 3, 105120 Moscow, Russia

This email address is being protected from spambots. You need JavaScript enabled to view it.

https://orcid.org/0000-0001-6361-741X

Igor' V. Ogorelkov

Head of the Department of Linguistic Expertise and Research, Moscow Research Center

Nizhnyaya Syromyatnicheskaya St., 5, Bld. 3, 105120 Moscow, Russia

This email address is being protected from spambots. You need JavaScript enabled to view it.

https://orcid.org/0000-0001-5116-3975

Abstract. The article discusses the issues of conducting authorship diagnostic studies in order to identify the gender of the anonymous text author. The concept of gender is considered as a conventional social construct, comprising the ideas about culturally conditioned model of masculinity or femininity, which are currently accepted by Russian society. The corpus of more than 1 000 written texts of mainly political discourse, written by people with different gender affiliations, serves as the material that enables to justify the possibility of application quantitative analysis method, based on frequency characteristics of semantically independent words, belonging to lexical-and-grammatical classes of words: pronouns, particles, prepositions, conjunctions and parenthesis. The method under consideration is aimed at identification and analyzing unevident implied signs, which can't be revealed whilst superficial analysis. Frequent, persistent occurrence of these signs in the texts of political discourse enables to regard them as highly informative quantitative characteristics of written speech of the authors belonging to different gender groups. It is stated, the results of application the quantitative model of author's gender identification,
represented in the paper, are more reliable if they are used in combination with traditional linguistic model, which presupposes the analysis of linguistic, speech, textual, semantic, psycholinguistic and social characteristics of texts. The article outlines the prospects of speech diagnostics of a person on the basis of gender for the development of author's forensic examination.

Key words: linguistics diagnostics, auto-analysis, speech skills, speech behavior, signs of written speech, quantitative model of gender, forensic examination.

Citation. Ionova S.V., Ogorelkov I.V. Personality Speech Diagnostics in Author Identification Based on Gender Parameter: Quantitative Approach. Vestnik Volgogradskogo gosudarstvennogo universiteta. Seriya 2. Yazykoznanie [Science Journal of Volgograd State University. Linguistics], 2020, vol. 19, no. 1, pp. 115-127. (in Russian). DOI: https://doi.org/10.15688/jvolsu2.2020.1.10

Attachments:

10_Ionova.pmd.pdf URL: https://l.jvolsu.com/index.php/en/component/attachments/download/2168

940 Downloads