Темир йўл транспорти: долзарб масалалар ва инновациялар 2-том (2024) · 217-223-беттер
ADVANTAGES AND POTENTIAL OF USING QUANTUM ALGORITHMS FOR TEXTUAL DATA CLASSIFICATION IN THE UZBEK LANGUAGE: ADVANTAGES AND POTENTIAL OF USING QUANTUM ALGORITHMS FOR TEXTUAL DATA CLASSIFICATION IN THE UZBEK LANGUAGE
Отахонова, Бахриxон, Юлдошев, Юлдошев, Обидова, Комила
Аннотация
The rapid advancement of quantum computing offers promising avenues for enhancing the classification of textual data, particularly in languages like Uzbek, which pose unique linguistic challenges. This paper explores the advantages and potential of applying quantum algorithms to the classification of textual data in the Uzbek language. Quantum algorithms, with their ability to process and analyze large datasets more efficiently than classical algorithms, present significant opportunities for improving the accuracy and speed of natural language processing (NLP) tasks, including sentiment analysis, topic modeling, and language translation. The unique structure and morphological richness of the Uzbek language, which can complicate traditional computational methods, may benefit from quantum computing's enhanced pattern recognition and optimization capabilities. Additionally, this paper discusses the current challenges, such as hardware limitations and the early stage of algorithm development, while highlighting the future prospects of integrating quantum computing into Uzbek language processing. The study aims to provide insights into how quantum algorithms can revolutionize the field of textual data classification in underrepresented languages like Uzbek, paving the way for more efficient and accurate linguistic analysis.
Квантовые алгоритмы, классификация текстовых данных, узбекский язык, обработка естественного языка (NLP), квантовые вычисления, языковой перевод, анализ настроений, тематическое моделирование, компьютерная лингвистика, распознавание образовQuantum algorithms, textual data classification, Uzbek language, natural language processing (NLP), quantum computing, language translation, sentiment analysis, topic modeling, computational linguistics, pattern recognition
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