SHS Web Conf.
Volume 50, 2018The International Scientific and Practical Conference “Current Issues of Linguistics and Didactics: The Interdisciplinary Approach in Humanities and Social Sciences” (CILDIAH-2018)
|Number of page(s)||5|
|Published online||12 October 2018|
Suggestive status of verbal model and its associative colority
Department of Language Communication and Psycholinguistics, Ufa, State Aviation Technical University, Ufa, Russia
* Corresponding author: firstname.lastname@example.org
The paper presents the results of the experimental research of the associative (psychological) colority of various complexity verbal models (sound-letter, word, text), performed by means of computer programs for different languages specially created for such analysis. The investigations were conducted on the material of the Russian, English, German, Tatar and Bashkir languages. The authors interpret associative colority as one of the tools of studying the suggestive reserves of verbal models with the help of which it is possible to manifest the latent affecting component of any speech product. For creating color matrices of the working languages, psycholinguistic experiments were carried out to allow materializing associative colority. On the basis of color matrices, the computer programs were written and the analysis of any verbal model as well as the simulation of the associative color background of any language became possible. The authors describe two approaches to studying associative colority. The first approach rests upon the comparison with reference color models of a language obtained by different ways: on the principle of accounting the shared participation of each sound-letter or by the indicator of the frequency usage of a sound-letter in discourse. The second approach allows analyzing the associative colority of a text not through the relation of a dominant color of a text to the dominant color of a language, but through the logarithm of ratio. The article provides the examples illustrating the results obtained by the authors.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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