UzMorphAnalyser: A Morphological Analysis Model for the Uzbek Language Using Inflectional Endings
Ulugbek Salaev

TL;DR
UzMorphAnalyser is a morphological analysis model for Uzbek that effectively handles inflectional endings, improving accuracy in stemming, lemmatizing, and extracting morphological features, and is accessible as a web app and Python library.
Contribution
The paper introduces a comprehensive morphological analysis model for Uzbek, including a complete set of word endings and datasets, with high accuracy and open-source availability.
Findings
Achieved over 91% accuracy in morphological analysis tasks.
Developed a complete set of word endings with morphological information.
Provided an open-source tool accessible as a web app and Python library.
Abstract
As Uzbek language is agglutinative, has many morphological features which words formed by combining root and affixes. Affixes play an important role in the morphological analysis of words, by adding additional meanings and grammatical functions to words. Inflectional endings are utilized to express various morphological features within the language. This feature introduces numerous possibilities for word endings, thereby significantly expanding the word vocabulary and exacerbating issues related to data sparsity in statistical models. This paper present modeling of the morphological analysis of Uzbek words, including stemming, lemmatizing, and the extraction of morphological information while considering morpho-phonetic exceptions. Main steps of the model involve developing a complete set of word-ending with assigned morphological information, and additional datasets for morphological…
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Taxonomy
TopicsEducation, Innovation and Language Studies · Economic and Industrial Development
MethodsSparse Evolutionary Training
