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The Russian Language Personality in the Current Diachrony: a New Associative-Verbal Database (2014-2021)

Journal: RUDN Journal of Language Studies, Semiotics and Semantics (Vol.13, No. 3)

Publication Date:

Authors : ;

Page : 648-665

Keywords : Russian language personality; experimental model; associative-verbal network; systemforming dimensions; current diachrony;

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The study presents a new Russian regional associative database (Siberia and the Far East) - SIBAS 2, obtained in a mass associative experiment (2014-2021) in the Asian regions of the Russian Federation. The author describes the main parameters of the scientifically significant information provided by the electronic resource SIBAS, the characteristics of the data in SIBAS 2 in comparison with the database SIBAS 1 reflecting the dimensions of the Russian language personality in the Asian regions of Russia, recorded in the period from 2008 to 2013. The associative dominants identified with the help of the SIBAS 1 resource are compared with the corresponding dimensions of the RLP, explicated by psycholinguists in the European part of the Russian Federation on the basis of the EURAS reverse dictionary (2008-2013); the dominants of SIBAS 1 and SIBAS 2 are compared with the all-Russian data of the reverse dictionaries of RAS (Russian Associative Thesaurus): the first (1988-1991) and second (1992-1995) stages of the all-Russian experiment. Against this background, the author presents new results of a general analysis of the semantic nodes of the SIBAS associative-verbal network, statistical ordering of the entire array of verbal associates in the current diachrony (2008-2021). Such statistical organization of the associativeverbal material can be viewed as a methodological technique, a preliminary step in the study of the psychologically relevant fluctuations of the system-forming semantic accentuations of the Russian language personality, their historical and cultural roots and meaningful transformations referring to a particular period of time (here mostly according to the data of SIBAS 1 and SIBAS 2).

Last modified: 2022-10-03 04:02:41