Talk · International Conference on Computer Science and Engineering · September 1, 2026
Dialectometry and the Technology of Compiling a Choropleth Atlas in an Areal Corpus
Kholova Muyassar, Mengliyev Bakhtiyor Rajabovich, Dilfuza Teshabayeva, Sofiyaxon Usmonova, Aziza Eshqurbonova, Rakhimova Guzal Bagriddinovna
Abstract
The article reviews questionnaire https://areal.dialect.uz reveals the role of the dialect sub corpus in the development of corpus linguistics and the areal approach in the formation of its morphological and lexical units were analysed, and also notes the possibility of achieving geolocation results using statistical data. The results obtained are processed by linguists using artificial intelligence (ChatGPT) and online mapping techniques over many years, which proves the possibility of saving effort, resources and time in determining the distribution area of the Kipchak, Oghuz and Karluk dialects existing in the Uzbek language. The research used observation, areabased surveying, and dialectometry methods, and maps were generated using Python libraries such as Pandas, GeoPandas, and Folium, along with the GeoJSON data format. As a result of the study, for the first time in Uzbek dialectology, the method of creating a choropleth map in the Google Colab software environment was applied in practice using dialectometry with artificial intelligence on the example of the Surkhandarya region of the southern region of the Republic of Uzbekistan. In our study, we emphasise that in the study of Karluk, Kipchak and Oghuz dialects in Uzbek dialectology, it is time to move from theoretical approaches to practice
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