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Development of intellectual web system for morph analyzing of uzbek words. / Mengliev, Davlatyor; Barakhnin, Vladimir; Abdurakhmonova, Nilufar.

в: Applied Sciences (Switzerland), Том 11, № 19, 9117, 01.10.2021.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Mengliev, D, Barakhnin, V & Abdurakhmonova, N 2021, 'Development of intellectual web system for morph analyzing of uzbek words', Applied Sciences (Switzerland), Том. 11, № 19, 9117. https://doi.org/10.3390/app11199117

APA

Vancouver

Mengliev D, Barakhnin V, Abdurakhmonova N. Development of intellectual web system for morph analyzing of uzbek words. Applied Sciences (Switzerland). 2021 окт. 1;11(19):9117. doi: 10.3390/app11199117

Author

Mengliev, Davlatyor ; Barakhnin, Vladimir ; Abdurakhmonova, Nilufar. / Development of intellectual web system for morph analyzing of uzbek words. в: Applied Sciences (Switzerland). 2021 ; Том 11, № 19.

BibTeX

@article{da02a425616e47a7a81a514266c61334,
title = "Development of intellectual web system for morph analyzing of uzbek words",
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).",
keywords = "Big data, Morphological analysis, Natural language processing (NLP), Turkic language, Uzbek language",
author = "Davlatyor Mengliev and Vladimir Barakhnin and Nilufar Abdurakhmonova",
note = "Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2021",
month = oct,
day = "1",
doi = "10.3390/app11199117",
language = "English",
volume = "11",
journal = "Applied Sciences (Switzerland)",
issn = "2076-3417",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "19",

}

RIS

TY - JOUR

T1 - Development of intellectual web system for morph analyzing of uzbek words

AU - Mengliev, Davlatyor

AU - Barakhnin, Vladimir

AU - Abdurakhmonova, Nilufar

N1 - Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2021/10/1

Y1 - 2021/10/1

N2 - 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).

AB - 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).

KW - Big data

KW - Morphological analysis

KW - Natural language processing (NLP)

KW - Turkic language

KW - Uzbek language

UR - http://www.scopus.com/inward/record.url?scp=85116222711&partnerID=8YFLogxK

U2 - 10.3390/app11199117

DO - 10.3390/app11199117

M3 - Article

AN - SCOPUS:85116222711

VL - 11

JO - Applied Sciences (Switzerland)

JF - Applied Sciences (Switzerland)

SN - 2076-3417

IS - 19

M1 - 9117

ER -

ID: 34377242