Uzbek Language

Research on the Uzbek language, an agglutinative Turkic language, is rapidly advancing, focusing on developing robust natural language processing (NLP) tools. Current efforts concentrate on creating and improving resources like corpora, and building models for tasks such as morphological analysis (using finite state machines and rule-based approaches), part-of-speech tagging, lemmatization, and text classification (employing RNNs, CNNs, and transformer-based models like BERT). These advancements are crucial for bridging the resource gap in NLP for low-resource languages like Uzbek, enabling applications in education, information retrieval, and machine translation.