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Dictionary-Based Medical Text Analysis in Uzbek: Overcoming the Low-Resource Challenge
2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB), 2023In the dynamically developing field of computational linguistics, problems associated with the processing of low-resource languages can face to certain difficulties. Moreover, solving such a problem becomes more complicated in the context of medical text
Davlatyor B. Mengliev +5 more
semanticscholar +1 more source
IEEE International Conference on Actual Problems of Electronics Instrument Engineering, 2023
Named entity recognition is one of the current problems in the field of natural language processing, especially for languages with limited resources, where the Uzbek language is one of them. In this scientific work, the authors conduct a review study and
Davlatyor B. Mengliev +5 more
semanticscholar +1 more source
Named entity recognition is one of the current problems in the field of natural language processing, especially for languages with limited resources, where the Uzbek language is one of them. In this scientific work, the authors conduct a review study and
Davlatyor B. Mengliev +5 more
semanticscholar +1 more source
Design and Implementation of a Tool for Extracting Uzbek Syllables
IEEE International Conference on Actual Problems of Electronics Instrument Engineering, 2023The accurate syllabification of words plays a vital role in various Natural Language Processing applications. Syllabification is a versatile linguistic tool with applications in linguistic research, language technology, education, and various fields ...
Ulugbek Salaev +2 more
semanticscholar +1 more source
Educational Data Mining, 2023
This research paper introduces an innovative rule-based syntactic analysis algorithm specifically tailored for the Uzbek language, designed to address and overcome the challenges associated with insufficient data availability commonly faced in machine ...
Davlatyor B. Mengliev +2 more
semanticscholar +1 more source
This research paper introduces an innovative rule-based syntactic analysis algorithm specifically tailored for the Uzbek language, designed to address and overcome the challenges associated with insufficient data availability commonly faced in machine ...
Davlatyor B. Mengliev +2 more
semanticscholar +1 more source
BBPOS: BERT-based Part-of-Speech Tagging for Uzbek
COLING WorkshopsThis paper advances NLP research for the low-resource Uzbek language by evaluating two previously untested monolingual Uzbek BERT models on the part-of-speech (POS) tagging task and introducing the first publicly available UPOS-tagged benchmark dataset ...
Latofat Bobojonova +3 more
semanticscholar +1 more source
Pos Taging of Uzbek Text Using Hidden Markov Model
2023 8th International Conference on Computer Science and Engineering (UBMK), 2023Markov models are one of the most widely used machine learning methods for natural language processing. Markov chain and hidden Markov model is a stochastic (random) method used to model dynamic systems, and the current state of the system is predicted ...
Elov Botir Boltayevich +4 more
semanticscholar +1 more source
Evaluation of Transformer-Based Approaches for Sentiment Analysis in Uzbek
Educational Data MiningThis paper presents a fairly relevant comparative analysis of two transformer-based language models, namely, RoBERTa and T5. These models were prepared and retrained specifically for sentiment analysis tasks in Uzbek texts.
Davlatyor B. Mengliev +5 more
semanticscholar +1 more source
Algorithm of Creating the “Uzbek-English Aligner” Program
2023 8th International Conference on Computer Science and Engineering (UBMK), 2023Today, the volume of information related to any sphere of human life is increasing. Although it is easy to find the information you need, there are several problems that need to be solved in their use, to overcome linguistic barriers, to help understand ...
Matyakubova Noila Shakirjanovna +4 more
semanticscholar +1 more source
Educational Text Analysis in Uzbek: Developing an NER Algorithm for Academic and Pedagogical Content
Educational Data MiningThe current research article discusses the development of a named entity recognition algorithm for educational texts in the Uzbek language. The work is based on a custom corpus of 15,000 sentences annotated using the BILOU scheme.
Davlatyor B. Mengliev +5 more
semanticscholar +1 more source
2024 IEEE 3rd International Conference on Problems of Informatics, Electronics and Radio Engineering (PIERE)
In this study, the authors presented an algorithm for automatic sentiment analysis in school essays written in the Uzbek language. The algorithm is implemented on the basis of a on a convolutional neural network architecture, designed to classify text ...
Davlatyor B. Mengliev +5 more
semanticscholar +1 more source
In this study, the authors presented an algorithm for automatic sentiment analysis in school essays written in the Uzbek language. The algorithm is implemented on the basis of a on a convolutional neural network architecture, designed to classify text ...
Davlatyor B. Mengliev +5 more
semanticscholar +1 more source

