Development of intellectual web system for morph analyzing of uzbek words

Davlatyor Mengliev, Vladimir Barakhnin, Nilufar Abdurakhmonova

Research output: Contribution to journalArticlepeer-review

Abstract

Currently, there is an active development of the Uzbek sector of the Internet. In it, as in other national sectors, the most common form of presentation of textual information is semi-structured documents, work that presupposes the availability of reliable algorithms for text analysis, including its lexical characteristics. The article offers an intelligent web application developed for morphological analysis of words in the Uzbek language. The web application is based on the concept of generation and stem analysis of the Uzbek language word forms. A well-known Porter algorithm was chosen as the basis for stemming. The morphoanalyzer generates word forms of the Uzbek language based on the division of words into certain classes, taking into account the specifics and structure of this language. For example, nouns can be classified by meaning (related, nominal), by quantity (singular and plural), by case, and also, by the endings of belonging (possessive).

Original languageEnglish
Article number9117
JournalApplied Sciences (Switzerland)
Volume11
Issue number19
DOIs
Publication statusPublished - 1 Oct 2021

Keywords

  • Big data
  • Morphological analysis
  • Natural language processing (NLP)
  • Turkic language
  • Uzbek language

OECD FOS+WOS

  • 1.02 COMPUTER AND INFORMATION SCIENCES

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