基于自然语言处理技术的 俄语语料库构建与深度应用研究

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中图分类号：H359；TP391

DOI:10.12339/j.issn.1673-8578.2026.01.030

Research on the Construction and Deep Application of Russian Corpus Based on Natural Language Processing Technology//ZHANG Zhiruo

Abstract: This article studies the integration path of Russian corpus construction and computer language processing technology. Based on the classification and labeling mechanism, the author combs the adaptation strategies of morphology, syntax and semantic processing, and constructs the application system framework of translation, question and answer, public opinion on the basis of integrating multi-source corpus and depth model. The results show that the corpus standard construction and processing mechanism can enhance the robustness and semantic parsing ability of the system.

Keywords: Russian corpus; natural language processing; syntactic analysis; deep learning; semantic disambiguation

俄语在语法形态、词汇多义性和句法结构方面具有显著语言学复杂性，这为自然语言处理任务带来诸多挑战。（剩余5006字）