Automating the Transition from Dialectal to Literary Forms in Uzbek Language Texts: An Algorithmic Perspective

Abstract

The article is devoted to the development of an algorithm for processing dialect variants of the Uzbek language. The main goal of the study is to automate the process of converting dialect word forms into their standard literary analogues. The authors discusses a dictionary approach, which requires using of two databases representing analyzed words. These dictionary databases consist of the words in North Oguz and South Khorezm dialects of the Uzbek language and their association with their literary equivalents.The results of testing demonstrate the good accuracy of the algorithm for words that are in the database of dialect analogues, while when working with word forms that are not in the databases, the accuracy percentage decreases significantly. The proposed approach can be improved, as the authors discuss in the conclusion section. The results of the work can be applied in problems of machine translation, information retrieval, lexical and semantic text processing, as well as in areas related to the study and preservation of linguistic diversity.

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