Standard

Rule-Based Syntactic Analysis for Uzbek Language: An Alternative Approach to Overcome Data Scarcity and Enhance Interpretability. / Mengliev, Davlatyor B.; Barakhnin, Vladimir B.; Ibragimov, Bahodir B.

24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023; Novosibirsk; Russian Federation; 29 June 2023 до 3 July 2023. Institute of Electrical and Electronics Engineers (IEEE), 2023. p. 1910-1915.

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

Harvard

Mengliev, DB, Barakhnin, VB & Ibragimov, BB 2023, Rule-Based Syntactic Analysis for Uzbek Language: An Alternative Approach to Overcome Data Scarcity and Enhance Interpretability. in 24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023; Novosibirsk; Russian Federation; 29 June 2023 до 3 July 2023. Institute of Electrical and Electronics Engineers (IEEE), pp. 1910-1915. https://doi.org/10.1109/edm58354.2023.10225235

APA

Mengliev, D. B., Barakhnin, V. B., & Ibragimov, B. B. (2023). Rule-Based Syntactic Analysis for Uzbek Language: An Alternative Approach to Overcome Data Scarcity and Enhance Interpretability. In 24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023; Novosibirsk; Russian Federation; 29 June 2023 до 3 July 2023 (pp. 1910-1915). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/edm58354.2023.10225235

Vancouver

Mengliev DB, Barakhnin VB, Ibragimov BB. Rule-Based Syntactic Analysis for Uzbek Language: An Alternative Approach to Overcome Data Scarcity and Enhance Interpretability. In 24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023; Novosibirsk; Russian Federation; 29 June 2023 до 3 July 2023. Institute of Electrical and Electronics Engineers (IEEE). 2023. p. 1910-1915 doi: 10.1109/edm58354.2023.10225235

Author

Mengliev, Davlatyor B. ; Barakhnin, Vladimir B. ; Ibragimov, Bahodir B. / Rule-Based Syntactic Analysis for Uzbek Language: An Alternative Approach to Overcome Data Scarcity and Enhance Interpretability. 24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023; Novosibirsk; Russian Federation; 29 June 2023 до 3 July 2023. Institute of Electrical and Electronics Engineers (IEEE), 2023. pp. 1910-1915

BibTeX

@inproceedings{86e41ece014e4b71add78fe448ee694b,
title = "Rule-Based Syntactic Analysis for Uzbek Language: An Alternative Approach to Overcome Data Scarcity and Enhance Interpretability",
abstract = "This research paper introduces an innovative rule-based syntactic analysis algorithm specifically tailored for the Uzbek language, designed to address and overcome the challenges associated with insufficient data availability commonly faced in machine learning approaches. By leveraging the unique characteristics of Uzbek grammar, the study establishes a comprehensive rule set for effectively parsing sentences in this low-resource language. It covers various aspects including tokenization, construction of dependency trees, followed by rigorous optimization and testing performed on diverse Uzbek texts. Despite the absence of machine learning, the study's relevance is elevated by providing a solution to data scarcity, offering a transparent, interpretable system that ensures faster development, reduced computational resource requirements, and enhanced resilience to noise and errors in data. The paper provides a thorough examination of Uzbek grammar, syntactic features, and a set of parsing rules. It also reviews related works, outlines the proposed algorithm's development, and presents the future potential for Natural Language Processing techniques in low-resource languages like Uzbek.",
keywords = "Uzbek language, rule-based, syntactic analysis, grammar, tokenization, dependency tree, algorithm, data scarcity, transparency, interpretability, Natural Language Processing (NLP)",
author = "Mengliev, {Davlatyor B.} and Barakhnin, {Vladimir B.} and Ibragimov, {Bahodir B.}",
year = "2023",
month = jul,
doi = "10.1109/edm58354.2023.10225235",
language = "English",
isbn = "9798350336870",
pages = "1910--1915",
booktitle = "24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023; Novosibirsk; Russian Federation; 29 June 2023 до 3 July 2023",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

}

RIS

TY - GEN

T1 - Rule-Based Syntactic Analysis for Uzbek Language: An Alternative Approach to Overcome Data Scarcity and Enhance Interpretability

AU - Mengliev, Davlatyor B.

AU - Barakhnin, Vladimir B.

AU - Ibragimov, Bahodir B.

PY - 2023/7

Y1 - 2023/7

N2 - This research paper introduces an innovative rule-based syntactic analysis algorithm specifically tailored for the Uzbek language, designed to address and overcome the challenges associated with insufficient data availability commonly faced in machine learning approaches. By leveraging the unique characteristics of Uzbek grammar, the study establishes a comprehensive rule set for effectively parsing sentences in this low-resource language. It covers various aspects including tokenization, construction of dependency trees, followed by rigorous optimization and testing performed on diverse Uzbek texts. Despite the absence of machine learning, the study's relevance is elevated by providing a solution to data scarcity, offering a transparent, interpretable system that ensures faster development, reduced computational resource requirements, and enhanced resilience to noise and errors in data. The paper provides a thorough examination of Uzbek grammar, syntactic features, and a set of parsing rules. It also reviews related works, outlines the proposed algorithm's development, and presents the future potential for Natural Language Processing techniques in low-resource languages like Uzbek.

AB - This research paper introduces an innovative rule-based syntactic analysis algorithm specifically tailored for the Uzbek language, designed to address and overcome the challenges associated with insufficient data availability commonly faced in machine learning approaches. By leveraging the unique characteristics of Uzbek grammar, the study establishes a comprehensive rule set for effectively parsing sentences in this low-resource language. It covers various aspects including tokenization, construction of dependency trees, followed by rigorous optimization and testing performed on diverse Uzbek texts. Despite the absence of machine learning, the study's relevance is elevated by providing a solution to data scarcity, offering a transparent, interpretable system that ensures faster development, reduced computational resource requirements, and enhanced resilience to noise and errors in data. The paper provides a thorough examination of Uzbek grammar, syntactic features, and a set of parsing rules. It also reviews related works, outlines the proposed algorithm's development, and presents the future potential for Natural Language Processing techniques in low-resource languages like Uzbek.

KW - Uzbek language

KW - rule-based

KW - syntactic analysis

KW - grammar

KW - tokenization

KW - dependency tree

KW - algorithm

KW - data scarcity

KW - transparency

KW - interpretability

KW - Natural Language Processing (NLP)

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85171977695&origin=inward&txGid=260279ddddc7ab9a7cdece31fcce43b3

UR - https://www.mendeley.com/catalogue/efa98888-9ef8-3d74-b04d-6ef1fae6279c/

U2 - 10.1109/edm58354.2023.10225235

DO - 10.1109/edm58354.2023.10225235

M3 - Conference contribution

SN - 9798350336870

SP - 1910

EP - 1915

BT - 24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023; Novosibirsk; Russian Federation; 29 June 2023 до 3 July 2023

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

ID: 55580573