Technologies for Creating Dictionary Tools for Machine Grammar

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.

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Publication Details

Journal
Automatic Documentation and Mathematical Linguistics
Published
2025-10-01
DOI
https://doi.org/10.3103/s0005105525701080
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
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article

Technologies for Creating Dictionary Tools for Machine Grammar

Automatic Documentation and Mathematical Linguistics
Natural Language Processing Techniques
article

Technologies for Creating Dictionary Tools for Machine Grammar

article en

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.

Automatic Documentation and Mathematical LinguisticsVol. 59(5)
Russian Academy of Sciences (RU), All Russian Institute for Scientific and Technical Information (RU), Moscow Aviation Institute (RU)
Quality Education
Openalex Percentile: Top 21%
Natural Language Processing Techniques
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Technologies for Creating Dictionary Tools for Machine Grammar · Automatic Documentation and Mathematical Linguistics (2025) | TGRS Research Map | TGRS