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Bekova, Vazira https://orcid.org/0009-0008-6518-1312
Declaration
Conflicts of Interest: Based on my understanding, this article has no conflicts of interest.
Funding Support: This article has not been funded by any organizations or agencies. This independence ensures that the research is conducted with objectivity and without any external influence.
Ethical Approval and Consent to Participate: The content of this article does not necessitate ethical approval or consent to participate with supporting documentation.
Data Access Statement and Material Availability: All the new mathematical models presented in this article are based on the work of Prof. Khakimov M.Kh. of the National University of Uzbekistan, namely: 21. Khakimov, M.Kh. Technology of Multilingual Modelled Computer Translator. Monograph // LAP LAMBERT Academic Publishing, Riga, 2019, 174 p.. In this monograph, an expandable input language is introduced for natural language processing in multilingual computer translation. Based on this expandable input language, general mathematical models of words and sentences are developed. In the present article, we build new mathematical models of affixes through the analysis of affixes in two natural languages (Uzbek and English) to create a high-quality machine translation system from Uzbek to English. Using these newly constructed mathematical models, the grammatical, semantic, and syntactic rules of natural languages can be formalized in a way that is understandable to the computer. This has been described in detail in both the previous and current articles. The datasets and new mathematical models generated and analyzed during this study are available from the corresponding author upon reasonable request.
Authors Contributions: The authorship of this article is contributed solely.