OʻZBEK TILI FE’L SOʻZ TURKUMI UCHUN CHEKLI AVTOMATLAR ASOSIDASTEMMING ALGORITMINI YARATISH
Maksud SharipovUrganch davlat universitetiUlugbek SalaevGayrat MatlatipovUrganch davlat universiteti
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This article presents the application of stemming, one of the most important aspects of NLP-Natural Language Processing, of the Uzbek verbs. The methodology is proposed for doing the stemming of the Uzbek verb words with a affix stripping approach whereas not including any lexicon. Verb affixes are classified into three classes and designed the finite state machines (FSMs) for each class according morphological rules. A stemming application for Uzbek verb words has been developed based the FSMs.
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