FE’L TUKUMIDAGI SO‘ZLARNI AVTOMATIK RAZMETKALASHNING MATEMATIK MODELLARI

Аннотация

This article presents a mathematical and software model designed for the automatic morphological analysis of Uzbek verbs. The study proposes a 13-position morphological encoding model based on the verb stem and affix system, where each grammatical category is represented by a separate symbol. The model is built on deterministic transition functions and formal grammar rules, implemented in Python and operating on JSON-based dictionaries. The results demonstrate high accuracy and flexibility in the automatic annotation of Uzbek verbs, highlighting its significant practical value for NLP and language technologies