Automated text simplification in the field of inclusive social addressing

The article substantiates the relevance of simplifying texts to improve the effectiveness of written communication with people with mental deficits. The task is to consider the possibilities of automatic text simplification tools. The results of automatic text simplification via ChatGPT and neuro-texter.ru are analyzed. The methods of discursive analysis of the text, the comparative method, the method of quantitative assessment of linguistic indicators are used. Quantitative indicators of adapted texts, the complexity of syntactic structures, graphic design and distortions of the content are considered. Conclusions are drawn about the insufficiency of automatic simplification of written texts for the clinical context. Adapted texts contain complex syntactic structures and unreasonable lexical substitutions. The quantitative characteristics of the adapted texts do not meet the requirements of easy language.