Dictionary of Abstract the Words of the Russian Language: Nouns with High Numerical Measure of Abstractness

Authors

  • Yulia Aleksandrovna Volskaya Department of Applied and Experimental Linguistics, Institute of Philology and Intercultural Communication, Russia
  • Irina Sergeevna Zhuravkina Department of Developmental and Educational Psychology, Faculty of Social Pedagogy and Practical Psychology, Russia
  • Alexander Pavlovich Lobanov Department of Age and Pedagogy, Faculty of Social Pedagogy and Practical Psychology, Russia

DOI:

https://doi.org/10.6000/1929-4409.2020.09.290

Keywords:

Abstract Vocabulary, Concrete Vocabulary, Semantic Criterion Morphological Criterion, Psychosomatic Survey.

Abstract

This article demonstrates an experiment based on one of the possible means of creating a semantic dictionary of abstract words. It also analyzes its first results, lexical units that have shown a high level of abstraction in our enquiry among native speakers. The widening field of researches that study abstract words demands a precise definition of units that can be classified as concrete nouns as opposed to the abstract ones. However, this task is made more difficult by a polysemy and complex semantic structure of abstract words. Ideas of cognitive approach point to the fact that one word can have features of both concrete and abstract units, to a different extent depending on context and individual perception. In this approach, the leading role belongs to the semantic criterion of differentiating between concrete and abstract lexical units. It is suggested that this principle should be taken into account when creating a dictionary of abstract vocabulary. While defining the degree of abstraction of a word, a psychosemantic enquiry of native speakers of Russian can be helpful. Results of such interrogation are described in this article.

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Published

2022-04-05

How to Cite

Volskaya, Y. A. ., Zhuravkina, I. S. ., & Lobanov, A. P. . (2022). Dictionary of Abstract the Words of the Russian Language: Nouns with High Numerical Measure of Abstractness. International Journal of Criminology and Sociology, 9, 2398–2405. https://doi.org/10.6000/1929-4409.2020.09.290

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