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CLASSIFICATION OF SENTENCES IN MODERN RUSSIAN LANGUAGE

Authors

  • Mansurova Rushongul

    Senior Lecturer, Faculty of Russian Language and Literature, MAMUN University
    Author

Keywords:

The aim of this research is to develop a comprehensive classification system for sentences in modern Russian that addresses the inconsistencies and gaps in existing linguistic frameworks; the key issue is determining the syntactic and semantic features that differentiate sentence structures, for which quantitative and qualitative data from contemporary Russian texts, including literary works, newspapers, and digital communications, will be analyzed.

Abstract

This dissertation investigates the classification of sentences in the modern Russian language, aiming to establish a systematic framework that rectifies the inconsistencies and gaps observed in current linguistic models. The research centers on identifying the syntactic and semantic features that delineate various sentence structures, employing a robust analysis of both quantitative and qualitative data derived from contemporary Russian texts, including literary sources, journalistic articles, and digital communications. The findings reveal distinct patterns in sentence formation and usage, highlighting previously unrecognized relationships between syntactic constructions and coherent meaning-making processes. Significantly, these insights extend beyond theoretical linguistics, offering implications for the field of healthcare by enhancing the clarity and effectiveness of communication in medical contexts, where precise language can have profound impacts on patient understanding and treatment outcomes. Ultimately, this study contributes to a deeper comprehension of language structure, thereby facilitating more effective dialogue in healthcare settings and informing future research on linguistic applications in professional communication disciplines. By addressing foundational challenges in sentence classification, this research paves the way for improved interpretative frameworks that can be applied across various domains, rendering it a valuable resource for linguists, healthcare professionals, and educators alike.

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Published

2025-02-01