Work

Building a Phraseological Ontology of Uzbek Idioms and Evaluating Similarity Measures for Their Detection in Text

Year: 2026

Type: conference-paper

Abstract: This paper presents a phraseological ontology for Uzbek idioms. The ontology classifies idioms along five dimensions: semantic, structural, stylistic, thematic, and translation equivalence. The lexical layer of the ontology, intended for idiom detection, contains 2,098 idioms and 1,104 lemmas. The ontology was built in the Protege environment and stored in the Web Ontology Language format. To assess the practical value of the ontology, the task of detecting idioms in text was considered. Five word-overlap similarity measures were tested on a manually annotated, stratified gold set of 400 sentences drawn from eight works of Uzbek literature. According to the results, the best measure reached F1 = 0.21 on the full 400-sentence set; even when the evaluation was restricted to the cases where the idiom is present in the ontology, the result did not exceed F1 = 0.37. Four reasons for this were identified, and it is substantiated that word overlap is a necessary but insufficient stage of idiom detection.

Source: International Conference on Computer Science and Engineering (UBMK)

DOI: 10.1109/ubmk71847.2026.11745269

Authors: Elmira Nazirova, Nilufar Abdurakhmonova, Nilufar Madetbayeva

Institutions: Tashkent University of Information Technology, National University of Uzbekistan

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W7224968860

FWCI:

Cites: 15

Cited by:

Related to: 10