레벤시타인 거리를 이용한 방언거리의 계산과 몽골어의 분석
A Computational Approach to Dialectometry and its Application to the Mongolic Languages and Dialects in China
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In recent times, many computational approaches to dialectology have been developed. Dialectometry is a study on measuring the distances between dialects and languages, and on the classification and clustering of those languages and dialects. In this study, 16 Mongolic dialects and languages in China were analyzed and compared to each other by pairwise comparison methods. In comparison, the Levenshtein distance method is used to measure the distance between two words, and its value is normalized by the length of aligned words. After measuring the distance between among languages and dialects, the distance matrix is created. The distance matrix is analyzed by the multidimensional scaling, the hierarchical clustering methods, and some phylogenetic analysis methods. The clustering result says that some dialects are closer to another dialects, and others are not. Especially, it is shown that BULIYATE and CHENBARHU is the closest dialects.
Abstract
In recent times, many computational approaches to dialectology have been developed. Dialectometry is a study on measuring the distances between dialects and languages, and on the classification and clustering of those languages and dialects. In this study, 16 Mongolic dialects and languages in China were analyzed and compared to each other by pairwise comparison methods. In comparison, the Levenshtein distance method is used to measure the distance between two words, and its value is normalized by the length of aligned words. After measuring the distance between among languages and dialects, the distance matrix is created. The distance matrix is analyzed by the multidimensional scaling, the hierarchical clustering methods, and some phylogenetic analysis methods. The clustering result says that some dialects are closer to another dialects, and others are not. Especially, it is shown that BULIYATE and CHENBARHU is the closest dialects.
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