Abstract
The article presents the results of the statistical analysis of indicators of the matrix of word meanings, composed of consonant classes based on the frequencies of the Russian-Buryat dictionary using the Ratcliffe-Obershelp similarity measures. We calculated a number of complete matches of words over the entire field of the matrix by the method of known probabilities for detecting letters and classes in words, and by calculating the probabilities using Markov chains. The best result was obtained for calculating probabilities under the assumption of Markovian dependence of the classes. The influence of the rank of the matrix of measures of similarity of words on the degree of coincidence of lists has been studied. The average similarity measures change little as the rank of the matrix decreases to r = 64. Further reduction of the rank of the matrix is inexpedient. The quantitative characteristics of languages are determined - the probabilities of the appearance of consonant classes for dictionary words, the probabilities of words of different lengths in the Russian and Buryat languages. To test the null hypothesis (the observed similarities of the metrics are random), a permutation test was used, after which a conclusion was made about the non-random nature of the coincidence of words in the Russian and Buryat languages and the presence of borrowings in the languages.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
