A METHOD OF ACCUSATIVE AND INSTRUMENTAL CASES DISAMBIGUATION FOR A NUMBER OF RUSSIAN NOUNS

A. V. Nicenko, V. Ju. Shelepov

About the authors

A. V. Nicenko, V. Ju. Shelepov

Ниценко Артём Владимирович – к.т.н. старший научный сотрудник отдела распознавания речевых образов, Федеральное государственное бюджетное научное учреждение «Институт проблем искусственного интеллекта», г. Донецк. Область научных интересов: искусственный интеллект, обработка естественного языка, компьютерная лингвистика. адрес: 283048, г. Донецк, ул. Артема, д. 118 б.

Шелепов Владислав Юрьевич – д.ф.-м.н. профессор, главный научный сотрудник отдела распознавания речевых образов, Федеральное государственное бюджетное научное учреждение «Институт проблем искусственного интеллекта», г. Донецк. Область научных интересов: искусственный интеллект, обработка естественного языка, компьютерная лингвистика. адрес: 283048, г. Донецк, ул. Артема, д. 118 б.

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UDC: 004.89:004.933
DOI: 10.24412/2413-7383-2025-2-37-13-20
Language: Russian

Abstract: The article proposes a method for automatic disambiguation of accusative and instrumental cases for a number of nouns using verb control data obtained from the Russian National Corpus. The results are implemented in experimental software for disambiguation.

Keywords: natural language processing, disambiguation, noun, accusative case, creative case, verb forms.

References

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Issue: 2(37)'2025
Section: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
How to cite: A. V. Nicenko, V. Ju. Shelepov. A METHOD OF ACCUSATIVE AND INSTRUMENTAL CASES DISAMBIGUATION FOR A NUMBER OF RUSSIAN NOUNS // Problems of Artificial Intelligence. - 2025. - № 2 (37). - P. 13-20. - https://paijournal.guiaidn.ru/en/2025/2(37)-2.html

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