TY - GEN

T1 - Advancing Karakalpak Linguistics with Dictionary-Based Morphological Analysis: Implications for Text Correction Systems

AU - Mengliev, Davlatyor B.

AU - Barakhnin, Vladimir B.

AU - Boltayev, Nodirbek R.

AU - Polatova, Sevinch A.

AU - Eshkulov, Mukhriddin O.

AU - Ibragimov, Bahodir B.

N1 - Conference code: 25

PY - 2024

Y1 - 2024

N2 - The article presents an original method of morphological analysis of the Karakalpak language, based on the dictionary approach, focusing on its application in text correction systems. The algorithm analyzes words, identifying their roots and affixes using an extensive dictionary of roots of more than ten-thousand-word forms and affixes, as well as a dictionary of exceptions for words that do not applicable for general grammatical rules. Proposed approach allows for high accuracy in determining the morphological structure of words and offers the user correction options for potentially misspelled words. The work contributes to the development of linguistic tools for the Karakalpak language and highlights the importance of developing technologies to support linguistic diversity and digital inclusion. In addition, as part of this work, the authors analyzed a number of existing scientific studies closely related to the topic under study in order to develop the most relevant and effective solution for automatic text correction of texts in Karakalpak language.

AB - The article presents an original method of morphological analysis of the Karakalpak language, based on the dictionary approach, focusing on its application in text correction systems. The algorithm analyzes words, identifying their roots and affixes using an extensive dictionary of roots of more than ten-thousand-word forms and affixes, as well as a dictionary of exceptions for words that do not applicable for general grammatical rules. Proposed approach allows for high accuracy in determining the morphological structure of words and offers the user correction options for potentially misspelled words. The work contributes to the development of linguistic tools for the Karakalpak language and highlights the importance of developing technologies to support linguistic diversity and digital inclusion. In addition, as part of this work, the authors analyzed a number of existing scientific studies closely related to the topic under study in order to develop the most relevant and effective solution for automatic text correction of texts in Karakalpak language.

KW - NLP

KW - agglutinative languages

KW - analysis algorithms

KW - dictionary method

KW - digital inclusion

KW - karakalpak language

KW - linguistic diversity

KW - morphological analysis

KW - quality of information processes

KW - text correction

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85201965579&origin=inward&txGid=ad16dae9881da1f208f84c52e3961d08

UR - https://www.mendeley.com/catalogue/8ca3170d-9ce2-3ffc-b40e-0baf6481b626/

U2 - 10.1109/EDM61683.2024.10615182

DO - 10.1109/EDM61683.2024.10615182

M3 - Conference contribution

SN - 9798350389234

T3 - International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM

SP - 2380

EP - 2383

BT - International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM

PB - IEEE Computer Society

T2 - 25th IEEE International Conference of Young Professionals in Electron Devices and Materials

Y2 - 28 June 2024 through 2 July 2024

ER -