Publications
Article · American Journal Of Applied Science And Technology · December 11, 2025
Developing A Question-Answering System In The Uzbek Language Based On The Xlm-Roberta Model
Ilyos Khujayorov, Mannon Ochilov, Kholmatov O.A.
Abstract
This article presents the issue of testing the XML-RoBERTa model for generating questions and answers in the Uzbek language. In the study, the XML-RoBERTa model was adapted to the Uzbek language from a dataset consisting of context, question and answer pairs in the Uzbek language and, as a result, a model was developed to generate a fragment of the answer to the user's question from the context. ROUGE, EM (Exact Match) and F1 control metrics were used to determine the performance of the model.
Topic ModelingNatural Language Processing TechniquesMultimodal Machine Learning Applicationsquestion answeringUzbek languageXLM-R
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