  Some results of a computational experiment for determining the intrinsic
dimension of linguistic varieties for the Bengali and Russian languages are
presented. At the same time, both sets of words and sets of bigrams in these
languages were considered separately. The method used to solve this problem was
based on formal concept analysis algorithms. It was found that the intrinsic
dimensions of these languages are significantly less than the dimensions used
in popular neural network models in natural language processing.
