Epedigmatic stratification of the russian vocabulary according to MAS-2
DOI:
https://doi.org/10.17308/lic.2020.2/2849Keywords:
Russian language, parametric analysis of vocabulary, polysemy, interval of inaccuracy, dominant, epedigmatic coreAbstract
The article is devoted to the quantitative analysis of the polysemy of Russian language words according to the data of "The Dictionary of the Russian Language" in 4 volumes edited by A. P. Eugeneva (МАS-2). The electronic version of the source dictionary, converted into a database, includes 83,596 words. However, the parametric analysis technique places limitations on the composition of the considered vocabulary. Only nouns, adjectives, and verbs are the object of the analysis when highlighting and describing the epidigmatic nucleus. Relying on V. T. Titov’s method of the parametric analysis of vocabulary, the epidigmatic weight of each lexeme of the dictionary is calculated, the epidigmatic nucleus and two epidigmatic co-dominants are extracted: verbs go and pull. When describing the epidigmatic nucleus of the Russian language vocabulary according to the data of the МАS-2, 1261 words with the number of meanings from 7 to 71 are considered. The comparison of the epidigmatic characteristics of two dictionaries (MAS-2 and MAS-1) brings us to the conclusion that polysemy is more developed in MAS-2. It is noted that the different reflection of polysemy in the compared dictionaries can be connected with the chosen technical decision of calculation of meanings in MAS-2. Application of the method of verification of epidigmatic data of the dictionary (LimD) introduced by V. T. Titov allows to estimate the interval of epidigmatic reliability of two dictionaries – MAS-1 and MAS-2. The calculation of the regression irradation of reliability (RID) indicates that a set of words with 15 meanings are unreliable in MAS-1, while in MAS-2 only aset of 20-meaning wors in the interval 1 to 24 meanings are unreliable. Further, sets of 25–26, 33–35, and a set of 38 are unreliable.











