Optimization of the mathematical model of natural language for morphemic analysis

The article considers the optimization of the previously proposed extended mathematical model for the morphemic analysis of word forms of natural language, created on the basis of statistical data. Optimization is based on the fact that the probability of encountering a morph or a combination of morphs in a natural language may depend on the location of this morph in the corresponding morpheme group. Optimization makes it possible to reduce the number of elements in probability matrices by splitting the matrices and then eliminating the zero rows from them. The advantages and disadvantages of the proposed optimization are considered.