Development of Intellectual Web System for Morph Analyzing of Uzbek Words
| Autor: | Vladimir Barakhnin, Davlatyor Mengliev, Nilufar Abdurakhmonova |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Technology
QH301-705.5 Computer science QC1-999 Uzbek language big data Noun Web application morphological analysis General Materials Science Biology (General) QD1-999 Instrumentation Plural Fluid Flow and Transfer Processes Turkic language business.industry Physics Process Chemistry and Technology General Engineering Engineering (General). Civil engineering (General) Turkic languages Possessive Linguistics Uzbek language.human_language Computer Science Applications Chemistry language natural language processing (NLP) The Internet TA1-2040 business Meaning (linguistics) |
| Zdroj: | Applied Sciences Volume 11 Issue 19 Applied Sciences, Vol 11, Iss 9117, p 9117 (2021) |
| ISSN: | 2076-3417 |
| DOI: | 10.3390/app11199117 |
| Popis: | 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). |
| Databáze: | OpenAIRE |
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