Standard

Developing a Dictionary-Centric Named Entity Recognition System for Karakalpak Language. / Mengliev, Davlatyor; Barakhnin, Vladimir; Sultonboyev, Azizbek и др.

в: AIP Conference Proceedings, Том 3244, № 1, 030044, 27.11.2024.

Результаты исследований: Научные публикации в периодических изданиях › статья по материалам конференции › Рецензирование

Harvard

Mengliev, D, Barakhnin, V, Sultonboyev, A, Ibragimov, B, Eshkulov, M & Abdullayev, R 2024, 'Developing a Dictionary-Centric Named Entity Recognition System for Karakalpak Language', AIP Conference Proceedings, Том. 3244, № 1, 030044. https://doi.org/10.1063/5.0241411

APA

Mengliev, D., Barakhnin, V., Sultonboyev, A., Ibragimov, B., Eshkulov, M., & Abdullayev, R. (2024). Developing a Dictionary-Centric Named Entity Recognition System for Karakalpak Language. AIP Conference Proceedings, 3244(1), [030044]. https://doi.org/10.1063/5.0241411

Vancouver

Mengliev D, Barakhnin V, Sultonboyev A, Ibragimov B, Eshkulov M, Abdullayev R. Developing a Dictionary-Centric Named Entity Recognition System for Karakalpak Language. AIP Conference Proceedings. 2024 нояб. 27;3244(1):030044. doi: 10.1063/5.0241411

Author

Mengliev, Davlatyor ; Barakhnin, Vladimir ; Sultonboyev, Azizbek и др. / Developing a Dictionary-Centric Named Entity Recognition System for Karakalpak Language. в: AIP Conference Proceedings. 2024 ; Том 3244, № 1.

BibTeX

@article{4c9fce87035a43a0b9d6ee5e4bb2ef9a,
title = "Developing a Dictionary-Centric Named Entity Recognition System for Karakalpak Language",
abstract = "This article presents an original approach to recognizing named entities in Karakalpak language texts. The approach involves the author's algorithm, which uses dictionaries with marked words, as well as a dataset of affixes for correct morphological analysis. The proposed approach shows high efficiency, although it is limited by the set of words added to the dictionary of marked words. For the most complete understanding of the research work, the authors included the necessary information on the Karakalpak language and its morphology. To objectively assess the results of the study, the authors conducted a comparative analysis with alternative works, where they demonstrated the main advantages and disadvantages of each similar solution.",
author = "Davlatyor Mengliev and Vladimir Barakhnin and Azizbek Sultonboyev and Bahodir Ibragimov and Mukhriddin Eshkulov and Ruslan Abdullayev",
year = "2024",
month = nov,
day = "27",
doi = "10.1063/5.0241411",
language = "English",
volume = "3244",
journal = "AIP Conference Proceedings",
issn = "0094-243X",
publisher = "American Institute of Physics",
number = "1",
note = "2024 International Scientific Conference on Modern Problems of Applied Science and Engineering, MPASE 2024 ; Conference date: 02-05-2024 Through 03-05-2024",

}

RIS

TY - JOUR

T1 - Developing a Dictionary-Centric Named Entity Recognition System for Karakalpak Language

AU - Mengliev, Davlatyor

AU - Barakhnin, Vladimir

AU - Sultonboyev, Azizbek

AU - Ibragimov, Bahodir

AU - Eshkulov, Mukhriddin

AU - Abdullayev, Ruslan

PY - 2024/11/27

Y1 - 2024/11/27

N2 - This article presents an original approach to recognizing named entities in Karakalpak language texts. The approach involves the author's algorithm, which uses dictionaries with marked words, as well as a dataset of affixes for correct morphological analysis. The proposed approach shows high efficiency, although it is limited by the set of words added to the dictionary of marked words. For the most complete understanding of the research work, the authors included the necessary information on the Karakalpak language and its morphology. To objectively assess the results of the study, the authors conducted a comparative analysis with alternative works, where they demonstrated the main advantages and disadvantages of each similar solution.

AB - This article presents an original approach to recognizing named entities in Karakalpak language texts. The approach involves the author's algorithm, which uses dictionaries with marked words, as well as a dataset of affixes for correct morphological analysis. The proposed approach shows high efficiency, although it is limited by the set of words added to the dictionary of marked words. For the most complete understanding of the research work, the authors included the necessary information on the Karakalpak language and its morphology. To objectively assess the results of the study, the authors conducted a comparative analysis with alternative works, where they demonstrated the main advantages and disadvantages of each similar solution.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85212042757&origin=inward&txGid=04d38a60be66bf71c7c444be53f76412

UR - https://www.mendeley.com/catalogue/66075220-cec9-3062-97b7-09d03a00e729/

U2 - 10.1063/5.0241411

DO - 10.1063/5.0241411

M3 - Conference article

VL - 3244

JO - AIP Conference Proceedings

JF - AIP Conference Proceedings

SN - 0094-243X

IS - 1

M1 - 030044

T2 - 2024 International Scientific Conference on Modern Problems of Applied Science and Engineering

Y2 - 2 May 2024 through 3 May 2024

ER -

ID: 61408191