The algorithm for identifying word adverbs or adverbials during translation from Uzbek to English

This paper presents an algorithm in order to identify adverbs and adverbials during translation from Uzbek to English for machine translation. It is irrefutable that the majority of people struggle with distinguishing them in a sentence. Hence, we set a goal to consider some important elements and develop methods so that it helps with machine translation software accuracy and efficiency. In this paper, an algorithm is given to identify adverbs and adverbials by comparing both language morphology and syntactic properties. A stemming and vector-based approach is used in the algorithm, addressing the issues of detecting and translating adverbs and adverbials. This helps the advancement of language use and mitigates language obstacles. By addressing the comparative analysis this method contributes to enhancing natural language understanding in computational systems. With this study it can be paved further research in order to improve semantic interpretation of adverbial elements which is important for translate accurately contextually. Admittedly, with implementation of this algorithm it can be supported the broader goal of building linguistically informed and machine translation system.