What does this research mean for the field?

Lexical homonymy functions not merely as formal linguistic similarity but as a reflection of specific cognitive stereotypes, and its representation in the mental lexicon can be effectively modeled using multilayer networks and cognitive frames to improve automatic differentiation in AI and machine translation systems. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This research aims to explore the linguistic and cognitive nature of homonyms through multilayer networks and cognitive frameworks.

June 3, 2026Open Access

Mental Leksikonni Ko‘pqatlamli Tarmoqlar Va Kognitiv Freymlar Asosida Modellashtirish

Key Points

This research aims to explore the linguistic and cognitive nature of homonyms through multilayer networks and cognitive frameworks.
Analysis of the mental lexicon focusing on homonyms and their cognitive models like frames and scenarios.
Examining the role of homonyms in Uzbek language through artificial intelligence and machine translation systems.
Evaluating disambiguation methods such as collocation and tagging in relation to cognitive processing.
Identified cognitive stereotypes of 'high perception' and 'quick understanding' reflected in homonym usage.
Demonstrated how homonyms are stored and processed in the mental lexicon based on linguistic, psychological, and neurological perspectives.
Addressed challenges in automatic disambiguation of homonyms in language processing systems.

Abstract

Ushbu maqolada leksik omonimlarning lingvokognitiv tabiati zamonaviy antroposentrik paradigma hamda ko‘pqatlamli tarmoqlar (multilayer networks) nazariyasi asosida tadqiq etiladi. Omonimiya hodisasi shunchaki shakliy bir xillik emas, balki turkiy xalqlarga xos “baland idrok” va “tez fahmlik” kognitiv stereotiplarining in’ikosi sifatida tahlil qilingan. Maqolada omonimlarning (mental omonimlar) mental leksikondagi o‘rni freym, ssenariy kabi kognitiv modellar orqali yoritilib, ularning xotirada saqlanish va nutqiy idrok etilish mexanizmlari lingvokognitiv, psixolingvistik va neyroligvistik jihatdan asoslanadi. Shuningdek, maqolada o‘zbek tilidagi omonimlarni sun’iy intellekt (ChatGPT) va mashina tarjimasi tizimlarida avtomatik farqlash muammolari hamda ularni bartaraf etishda kollokatsiya va teglash usullarining ahamiyati ko‘rib chiqiladi.

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