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OʻZBEK TILI FE’L SOʻZ TURKUMI UCHUN CHEKLI AVTOMATLAR ASOSIDASTEMMING ALGORITMINI YARATISH

Maksud SharipovUrganch davlat universitetiUlugbek SalaevGayrat MatlatipovUrganch davlat universiteti
ABI

Abstract

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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