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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.

Suggestive status of verbal model and its associative colority