Systems analysis , search, analysis and information filtering
Atadzhanov Zh.A. —
Models of Morphological Analysis of Uzbek Words
// Cybernetics and programming. – 2016. – ¹ 6.
– P. 70 - 73.
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Review: The subject of the research is the models and algorithms of the morphological analysis of texts, the category of suffixes and rules for using them in the Uzbek language. The object of the research is the processes of defining roots in Uzbek sentences according to morphological rules of the Uzbek language without using additional dictionaries. Developed methods and models are oriented at specific features of the Uzbek language, its structure, peculiarities of word forms for further comparison, standardization and search for analogous texts in data bases. Research methods used by the author include morphological analysis of texts, abstract programming, method of finite state machines and flow charts and methods of mathematical modeling. In order to create the antiplaque program it is important to research the specific characters of the language of a text. The article presents an approach to morphological analysis of Uzbek words. The approach is based on the analysis of words according to the finite state machines (FSM) method and based on defining the root of the word according to the word order in Uzbek language.
Keywords: abstract programming, word parser, morphologic rule, automata theory, normalization of words, determining the root, suffixes, finite state automaton, affixes, analysing natural language
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