Modeling Analytic Forms of Verb in Uzbek as Stage of Morphological Analysis in Machine Translation

Authors

  • Nilufar Abdurakhmonov Tashkent State University of the Uzbek Language and literature named after Alisher Navoi

DOI:

https://doi.org/10.24200/jsshr.vol5iss03pp89-100

Abstract

The paper deals with the significant role of morpheme analysis for modeling of grammatical categories of parts of speech in Uzbek in machine translation. Methodology: Identifying types of morphological analysis stages and general paradigms, differences of source and target languages. The verbs in Uzbek have own peculiarities in respect of forms and analytical characteristics. Results: There is compound verb, word combination; verbal word combination and their forms play important role for computational morphology. Conclusion: The article shows modeling of grammar categories based on forms, bounding of syntactic attitudes and combinations of affixes in forms of verbs. 

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Published

2019-08-16

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Articles