Associative Experiment on the Material of Abstractness / Concreteness Ratings: a Comparative Aspect

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Abstract

An important parameter in the studies of associative fields is the characterization of words by concreteness and Abstractness. In a recently published article we analyzed associations to 100 Abstract and concrete stimuli. The associations were selected from the Russian associative dictionary of Yu.N. Karaulov (hereinafter referred to as RAS), which was created during the period from 1988 to 1990. It should be noted that, at the moment, Yu.N. Karaulov’s dictionary is the only nonregional associative thesaurus of the Russian language with a voluminous vocabulary of stimuli. There is a question: has the nature and structure of associative fields changed over more than 30 years? This article compares associations from the Russian Associative Dictionary with associations that were obtained in the new experiment. The list of stimuli included the same 100 Abstract and concrete words on the basis of which association analysis was performed in the work. The experiment described in this work makes it possible determine whether there are any systemic changes in associations, and, since the stimuli are Abstract and concrete substantives, to analyze possible changes in the perception features of nouns which refer to two lexico-grammatical groups.The paper analyzes quantitative indicators of associations on the basis of statistical methods and considers the peculiarities of associations in terms of their semantic content and the type of connection with the word stimulus. For a detailed analysis all associations are classified into groups, the comparison of the data obtained in the experiment with the data of Yu.N. Karaulov’s dictionary is carried out on the basis of the created classification. The analysis reveals a number of important changes in the structure of associative series, which indicate not only the development of new linguistic world image, but also some transformations in the system of mental lexicon of native speakers. The article also proves the tendency to preservation of the difference between associations to Abstract and concrete nouns, which confirms the theory of context accessibility in dynamics.

About the authors

Yuliya A. Volskaya

Kazan (Volga region) Federal University

Author for correspondence.
Email: kovaleva95julia@mail.ru
ORCID iD: 0000-0001-8276-5864
SPIN-code: 7085-6726
Scopus Author ID: 57204786678

PhD in Philology, Assistant at the Department of Applied and Experimental Linguistics, Institute of Philology and Intercultural Communication

18, Kremlevskaya St., Kazan, Russian Federation, 420008

References

  1. Solovyev, V.D., Vol’skaya, Y.A. & Akhtiamov, R.B. (2023). Range of associations to Russian Abstract and concrete nouns. Research Result. Theoretical and Applied Linguistics, 9(1), 153– 173. http://doi.org/10.18413/2313-8912-2023-9-1-1-0
  2. Chen, S.X., Benet-Martínez, V. & Ng, J.CK. (2014). Does language affect personality perception? A functional approach to testing the Whorfian hypothesis, Journal of Personality, 82(2), 130–143.
  3. Lupyan, G., Abdel Rahman, R., Boroditsky, L. & Clark, A. (2020). Effects of language on visual perception. Trends in Cognitive Sciences, 24(11), 930–944. http://doi.org/10.1016/j. tics.2020.08.005
  4. Planchuelo, C., Buades-Sitjar, F., Hinojosa, J.A. & Duñabeitia, J.A. (2022). The nature of word associations in sentence contexts. Experimental Psychology, 69(2), 104–110. http:// doi.org/10.1027/1618-3169/a00054
  5. Zalevskaya, A.A. (2015). Mental lexicon: construct, metaphor or myth? GISAP: Philological Sciences, 8, 42–44. http://doi.org/10.18007/gisap:ps.v0i7.919 (In Russ.).
  6. Potanina, Yu.D., Podlesskaya, V.I. & Fedorova, O.V. (2016). Verbal working memory and lexicogrammatical signals of speech difficulties: data from the Russian multimodal corpus. In: Komp’yuternaya lingvistika i intellektual’nye tekhnologii. Trudy mezhdunarodnoi konferentsii Dialog-2016 [Computer linguistics and intellectual technologies. Proceedings of the international conference “Dialogue 2016”]. Moscow. (In Russ.).
  7. Ovchinnikova, I.G. (2018). Syntagmatic failures in the Russian language: interpretation in the light of current models of the mental lexicon. Journal of Psycholinguistics, 2, 84–98. http:// doi.org/10.30982/2077-5911-2-84-98 (In Russ.).
  8. Zalevskaya, A.A. (1990). Slovo v leksikone cheloveka: psiholingvisticheskie issledovaniya [The word in the human lexicon: psycholinguistic research]. Voronezh: Izd-vo Voronezh. unta. (In Russ.).
  9. Crutch, S.J. & Warrington, E.K. (2005). Abstract and concrete concepts have structurally different representational frameworks. Brain, 128(3), 615–627. http://doi.org/10.1093/brain/ awh349
  10. Crutch, S.J. & Jackson, E.C. (2011). Contrasting graded effects of semantic similarity and association across the concreteness spectrum. Quarterly Journal of Experimental Psychology, 64(7), 1388–1408. http://doi.org/10.1080/17470218.2010.543285
  11. Karaulov, Yu.N., Sorokin, Yu.A. & Tarasov, E.F. (1994). Russian associative dictionary. Moscow. (In Russ.).
  12. Solovyev, V.D., Volskaya, Y.A., Andreeva, M.I. & Zaikin, A.A. (2022). Russian dictionary with concreteness / Abstractness indices. Russian Journal of Linguistics, 26(2), 515–549. http://doi.org/10.22363/2687-0088-29475
  13. Paivio, A. (1986). Mental representations: A dual coding approach. New York: Oxford University Press.
  14. Schwanenflugel, P.J., Akin, C. & Luh, W.-M. (1992). Context availability and the recall of Abstract and concrete words. Memory & Cognition, 20, 96–104. http://doi.org/10.3758/ bf03208259
  15. Solovyev, V. (2021). Concreteness/Abstractness Concept: State of the Art. Advances in Intelligent Systems and Computing, 1358, 275–283. http://doi.org/10.1007/978-3-030-71637-0_33
  16. Kent, G.H. & Rosanoff, A.J. (1910). A Study of Association in Insanity. Journal of Philosophy, Psychology and Scientific Methods, 7(25), 695–696.
  17. Russell, W.A. & Jenkins, J.J. (1954). The complete Minnesota norms for responses to 100 words from the Kent-Rosanoff Word Association Test. Technical Report, 11.
  18. De Deyne, S., Navarro, D.J., Perfors, A., Brysbaert, M. & Storms, G. (2019). The “Small World of Words” English word association norms for over 12,000 cue words. Behavior Research Methods, 51(3), 987–1006. http://doi.org/10.3758/s13428-018-1115-7
  19. Kiss, G.R., Armstrong, C., Milroy, R. & Piper, J. (1972). An associative thesaurus of English and its computer analysis. In: The computer and literary studies. Edinburgh: Edinburgh University Press. рр. —165.
  20. Leont’ev, A.A. (1977). Slovar’ assotsiativnykh norm russkogo yazyka [Dictionary of associative norms of the Russian language]. Moscow: MSU. (In Russ.).
  21. Ufimtseva, N.V. (2004). Slavyanskii assotsiativnyi slovar’: russkii, belorusskii, bolgarskii, ukrainskii [Slavic associative dictionary: Russian, Belarusian, Bulgarian, Ukrainian]. Moscow: Mosk. gos. lingvist. un-t. publ. (In Russ.).
  22. Cherkasova, G.A. & Ufimtseva, N.V. (2014). Russkii regional’nyi assotsiativnyi slovar’tezaurus EVRAS. V 2-kh t. [Russian Regional Associative Dictionary-thesaurus EVRAS. In 2 volumes]. Moscow: Institute of Linguistics publ. (In Russ.).
  23. Tarasov, E.F., Dronov, V.V. & Oshchepkova, E.S. (2017). Uchebnyi assotsiativnyi slovar’ russkogo yazyka [Educational associative dictionary of the Russian language]. Saint Petersburg: Zlatoust publ. (In Russ.).
  24. Borghi, A.M., Binkofski, F., Castelfranchi, C., Cimatti, F., Scorolli, C. & Tummolini, L. (2017). The challenge of Abstract concepts. Psychological Bulletin, 143, 263–292. http://doi. org/10.1037/bul0000089
  25. Lakoff, G. (2014). Mapping the brain’s metaphor circuitry: metaphorical thought in everyday reason. Frontiers in human neuroscience, 8, 1–14. https://doi.org/10.3389/fnhum.2014.00958
  26. Boot, I. & Pecher, D. (2011). Representation of categories: Metaphorical use of the container schema. Experimental psychology, 58(2), 162–169.
  27. Akaj, O.M. (2014). Abstract noun phenomenon. Vestnik Moskovskogo gosudarstvennogo universiteta kul’tury i iskusstv, 5(61), 269–273. (In Russ.).
  28. Myachykov, A. & Fischer, M.H. (2019). A hierarchical view of Abstractness: grounded, embodied, and situated aspects. Physics of Life Reviews, 29, 161–163. https://doi.org/10.1016/j. plrev.2019.04.005
  29. Cousins Katheryn, A.Q., Ash, Sh., Irwin, D.J. & Grossman, M. (2017). Dissociable substrates underlie the production of Abstract and concrete nouns. Brain and Language, 165, 45–54. http://doi.org/10.1016/j.bandl.2016.11.003
  30. Pulvermüller, F. (2013). How neurons make meaning: Brain mechanisms for embodied and Abstract-symbolic semantics. Trends in Cognitive Sciences, 17, 458–470. http://doi. org/10.1016/j.tics.2013.06.004

Supplementary files

Supplementary Files
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1. Fig. 1. Quantile plots of the numbers of associations for Abstract (left) and concrete (right) words

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