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This paper describes the methods for normalizing Ukrainian texts which contain numbers in numerical form. The proposed application converts numerals into letter form with the corresponding morphological features. Ukrainian natural language processing tools are used to determine the morphological attributes of numerals. The conversion of texts considers the rules of Ukrainian grammar. The accuracy of the developed methods reaches 94.17%. The final software product will serve as a tool for pre-processing sentences with numerals for Ukrainian speech synthesis.

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Ukrainian NLP: Determining the Letter Form of a Number in a Sentence

  • 会议论文

  • 发表日期：

    2025年

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  • Oleh Smysh,
  • Liliia Parashchak,
  • Oleksandr Zhezherun

摘要

This paper describes the methods for normalizing Ukrainian texts which contain numbers in numerical form. The proposed application converts numerals into letter form with the corresponding morphological features. Ukrainian natural language processing tools are used to determine the morphological attributes of numerals. The conversion of texts considers the rules of Ukrainian grammar. The accuracy of the developed methods reaches 94.17%. The final software product will serve as a tool for pre-processing sentences with numerals for Ukrainian speech synthesis.