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UzbekTagger: The rule-based POS tagger for Uzbek language
This research paper presents a part-of-speech (POS) annotated dataset and tagger tool for the low-resource Uzbek language.
Development of a rule-based lemmatization algorithm through Finite State Machine for Uzbek language
This lemmatization consists of the general rules and a part of speech data of the Uzbek language, affixes, classification of affixes, removing affixes on the basis of the finite state machine for each class, as well as a definition of this word lemma.
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