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Found 5 papers, 3 papers with code
Design and Implementation of a Tool for Extracting Uzbek Syllables
In this paper, we present a comprehensive approach to syllabification for the Uzbek language, including rule-based techniques and machine learning algorithms.
Text classification dataset and analysis for Uzbek language
We also present a comprehensive evaluation of different models, ranging from traditional bag-of-words models to deep learning architectures, on this newly created dataset.
Uzbek affix finite state machine for stemming
This work presents a morphological analyzer for the Uzbek language using a finite state machine.
A machine transliteration tool between Uzbek alphabets
Machine transliteration, as defined in this paper, is a process of automatically transforming written script of words from a source alphabet into words of another target alphabet within the same language, while preserving their meaning, as well as pronunciation.
SimRelUz: Similarity and Relatedness scores as a Semantic Evaluation dataset for Uzbek language
Semantic relatedness between words is one of the core concepts in natural language processing, thus making semantic evaluation an important task.
