Morphological analysis of nouns in English to Uzbek machine translation
Keywords:
natural language processing, noun category, word weight, plural affix, tokenizationAbstract
The article analyzes the work done so far to create a high-quality computer translation. It also describes the approaches, challenges, and solutions in achieving semantically accurate translation in computer translation. The article highlights the importance of formalization in modeling grammatical categories for English and Uzbek languages, especially the classification of nouns when they enter syntactic relationships. The significance of the morpho analyzer in ensuring accurate and high-quality automatic translation is analyzed using mathematical models and the classification of word and plural affixes and their weights in both languages. New mathematical models built for both languages are presented in separate tables for each type of noun category. The article provides explanations based on the new mathematical models constructed.
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