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Обзор методов оценки сложности текстов в сфере регулирования банковской деятельности
The estimation of textual complexity is an important and relevant task in the field of natural language processing. For example, in the banking sector, according to experts, there is a trend towards increasing the complexity of texts in all areas of financial regulation, which makes them difficult to understand even by professionals. This can lead to different interpretations, so the text should be written in simple language and be understandable to the addressees. However, in order to control the complexity of a text it is necessary to be able to measure it. This article provides an overview of methods for measuring text complexity. We describe both classical approaches based on syntactic features of the text and advanced methods based on the application of universal vector language models.