Standard

Automating the Transition from Dialectal to Literary Forms in Uzbek Language Texts: An Algorithmic Perspective. / Mengliev, Davlatyor B.; Abdurakhmonova, Nilufar; Hayitbayeva, Dilafroz et al.

Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023. Institute of Electrical and Electronics Engineers (IEEE), 2023. p. 1440-1443.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Mengliev, DB, Abdurakhmonova, N, Hayitbayeva, D & Barakhnin, VB 2023, Automating the Transition from Dialectal to Literary Forms in Uzbek Language Texts: An Algorithmic Perspective. in Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023. Institute of Electrical and Electronics Engineers (IEEE), pp. 1440-1443, 16th IEEE International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, Новосибирск, Russian Federation, 10.11.2023. https://doi.org/10.1109/apeie59731.2023.10347617

APA

Mengliev, D. B., Abdurakhmonova, N., Hayitbayeva, D., & Barakhnin, V. B. (2023). Automating the Transition from Dialectal to Literary Forms in Uzbek Language Texts: An Algorithmic Perspective. In Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023 (pp. 1440-1443). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/apeie59731.2023.10347617

Vancouver

Mengliev DB, Abdurakhmonova N, Hayitbayeva D, Barakhnin VB. Automating the Transition from Dialectal to Literary Forms in Uzbek Language Texts: An Algorithmic Perspective. In Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023. Institute of Electrical and Electronics Engineers (IEEE). 2023. p. 1440-1443 doi: 10.1109/apeie59731.2023.10347617

Author

Mengliev, Davlatyor B. ; Abdurakhmonova, Nilufar ; Hayitbayeva, Dilafroz et al. / Automating the Transition from Dialectal to Literary Forms in Uzbek Language Texts: An Algorithmic Perspective. Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023. Institute of Electrical and Electronics Engineers (IEEE), 2023. pp. 1440-1443

BibTeX

@inproceedings{0f0d86651f304237bd67dd7f41e24947,
title = "Automating the Transition from Dialectal to Literary Forms in Uzbek Language Texts: An Algorithmic Perspective",
abstract = "The article is devoted to the development of an algorithm for processing dialect variants of the Uzbek language. The main goal of the study is to automate the process of converting dialect word forms into their standard literary analogues. The authors discusses a dictionary approach, which requires using of two databases representing analyzed words. These dictionary databases consist of the words in North Oguz and South Khorezm dialects of the Uzbek language and their association with their literary equivalents. The results of testing demonstrate the good accuracy of the algorithm for words that are in the database of dialect analogues, while when working with word forms that are not in the databases, the accuracy percentage decreases significantly. The proposed approach can be improved, as the authors discuss in the conclusion section. The results of the work can be applied in problems of machine translation, information retrieval, lexical and semantic text processing, as well as in areas related to the study and preservation of linguistic diversity.",
author = "Mengliev, {Davlatyor B.} and Nilufar Abdurakhmonova and Dilafroz Hayitbayeva and Barakhnin, {Vladimir B.}",
note = "{\textcopyright} 2023 IEEE.; 16th IEEE International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023 ; Conference date: 10-11-2023 Through 12-11-2023",
year = "2023",
doi = "10.1109/apeie59731.2023.10347617",
language = "English",
isbn = "9798350330885",
pages = "1440--1443",
booktitle = "Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

}

RIS

TY - GEN

T1 - Automating the Transition from Dialectal to Literary Forms in Uzbek Language Texts: An Algorithmic Perspective

AU - Mengliev, Davlatyor B.

AU - Abdurakhmonova, Nilufar

AU - Hayitbayeva, Dilafroz

AU - Barakhnin, Vladimir B.

N1 - Conference code: 16

PY - 2023

Y1 - 2023

N2 - The article is devoted to the development of an algorithm for processing dialect variants of the Uzbek language. The main goal of the study is to automate the process of converting dialect word forms into their standard literary analogues. The authors discusses a dictionary approach, which requires using of two databases representing analyzed words. These dictionary databases consist of the words in North Oguz and South Khorezm dialects of the Uzbek language and their association with their literary equivalents. The results of testing demonstrate the good accuracy of the algorithm for words that are in the database of dialect analogues, while when working with word forms that are not in the databases, the accuracy percentage decreases significantly. The proposed approach can be improved, as the authors discuss in the conclusion section. The results of the work can be applied in problems of machine translation, information retrieval, lexical and semantic text processing, as well as in areas related to the study and preservation of linguistic diversity.

AB - The article is devoted to the development of an algorithm for processing dialect variants of the Uzbek language. The main goal of the study is to automate the process of converting dialect word forms into their standard literary analogues. The authors discusses a dictionary approach, which requires using of two databases representing analyzed words. These dictionary databases consist of the words in North Oguz and South Khorezm dialects of the Uzbek language and their association with their literary equivalents. The results of testing demonstrate the good accuracy of the algorithm for words that are in the database of dialect analogues, while when working with word forms that are not in the databases, the accuracy percentage decreases significantly. The proposed approach can be improved, as the authors discuss in the conclusion section. The results of the work can be applied in problems of machine translation, information retrieval, lexical and semantic text processing, as well as in areas related to the study and preservation of linguistic diversity.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85182273473&origin=inward&txGid=6c219a12ad005aea7d6479718897f7c6

UR - https://www.mendeley.com/catalogue/83b7317c-38ad-31fa-8bc4-e7355b476f2c/

U2 - 10.1109/apeie59731.2023.10347617

DO - 10.1109/apeie59731.2023.10347617

M3 - Conference contribution

SN - 9798350330885

SP - 1440

EP - 1443

BT - Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 16th IEEE International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering

Y2 - 10 November 2023 through 12 November 2023

ER -

ID: 59613853