首页|Study Findings on Machine Learning Described by Researchers at National Universi ty of Uzbekistan (Developing named entity recognition algorithms for Uzbek: Data set insights and implementation)
Study Findings on Machine Learning Described by Researchers at National Universi ty of Uzbekistan (Developing named entity recognition algorithms for Uzbek: Data set insights and implementation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on artificial in telligence. According to news reporting from National University of Uzbekistan b y NewsRx journalists, research stated, “This paper presents a dataset and approa ches to named entity recognition (NLP) in Uzbek language, in a resource-constrai ned language environment.” Our news reporters obtained a quote from the research from National University o f Uzbekistan: “Despite the increase in NLP applications, the Uzbek language is s till underrepresented, which underscores the importance of our work. Our dataset includes 1,160 sentences with nearly 19,000 word forms annotated for parts of s peech and named entities, making it a valuable resource for linguistic research and machine learning applications in Uzbek. In addition, for practical applicati on and experiments, the authors have developed two algorithms that, using this d ictionary, identifies named entities in Uzbek language texts. In addition, the a uthors described the methodology for creating the dataset, the design of the alg orithms, and their application to the Uzbek language. This study not only provid es an important dataset for future named entity recognition(NER) tasks in the Uz bek language, but also offers a methodological basis for the use of vocabulary-b ased NER or Machine learning NER in other low-resource languages (e.g. Karakalpa k).”
National University of UzbekistanAlgor ithmsCyborgsEmerging TechnologiesMachine LearningNamed Entity Recognitio n
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