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Abstract <p>Based on the analysis of the functional capabilities and algorithmic solutions of several existing morphological analyzers of the Russian language and of the composition and structure of Russian dictionaries, a concept has been developed and design solutions for declarative tools for the next-generation MetaFraz morphological analyzer have been proposed. The concept envisions the creation of an optimized complex of declarative tools to ensure high performance and accuracy in processing text data. The key element is a balanced configuration of lexical resources combined with effective search algorithms. The use of modern data structures and algorithmic solutions allows for a significant increase in performance while maintaining high accuracy in morphological analysis. The proposed solutions form the basis for creating a scalable system capable of processing significant volumes of text information while meeting strict quality requirements for linguistic analysis.</p>

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Technologies for Creating Dictionary Tools for Machine Grammar

  • 期刊论文

  • 发表日期：

    2025年10月1日

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  • A. V. Kan,
  • Alexander A. Khoroshilov,
  • I. A. Chechulin,
  • Alexey A. Khoroshilov

摘要

Abstract

Based on the analysis of the functional capabilities and algorithmic solutions of several existing morphological analyzers of the Russian language and of the composition and structure of Russian dictionaries, a concept has been developed and design solutions for declarative tools for the next-generation MetaFraz morphological analyzer have been proposed. The concept envisions the creation of an optimized complex of declarative tools to ensure high performance and accuracy in processing text data. The key element is a balanced configuration of lexical resources combined with effective search algorithms. The use of modern data structures and algorithmic solutions allows for a significant increase in performance while maintaining high accuracy in morphological analysis. The proposed solutions form the basis for creating a scalable system capable of processing significant volumes of text information while meeting strict quality requirements for linguistic analysis.