ALLOMORPH DETECTION PROBLEMS IN COMPUTER LINGUISTICS

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Published: 2026-04-23
DOI: https://doi.org/10.66073/ReFocus-Conf/962
Keywords:
allomorphy, morphology, computational linguistics, NLP, phonetic environment, artificial intelligence, algorithms

Main Article Content

Boltabayeva Marifatkhon Bakhromjon kizi
Namangan State Pedagogical Institute Senior Lecturer, Department of Foreign Languages
Sobirjonova Husnida Tajimat kizi
Namangan State Pedagogical Institute Department of Foreign Languages, Foreign Language and Literature (XTA-BU-22)

Abstract

This article analyzes theoretical and practical challenges
in identifying allomorphs within computational linguistics. It examines
phonological and morphological aspects of allomorphy and highlights
difficulties in automated text processing systems. The study emphasizes
the importance of combining context-based approaches, machine
learning methods, and linguistic rules to improve morphological analysis
and model accuracy. 

Article Details

Issue

Vol. 1 No. 1 (2026): “INNOVATIVE APPROACHES TO TEACHING FOREIGN LANGUAGES IN THE CONTEXT OF DIGITAL TRANSFORMATION” Republican Scientific and Practical Conference

Section

Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Boltabayeva Marifatkhon Bakhromjon kizi, & Sobirjonova Husnida Tajimat kizi. (2026). ALLOMORPH DETECTION PROBLEMS IN COMPUTER LINGUISTICS. Partner Conferences of the International Scientific Journal Research Focus, 1(1), 1088-1094. https://doi.org/10.66073/ReFocus-Conf/962

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