RuGECToR: rule-based neural network model for russian language grammatical error correction
- Authors: Khabutdinov I.А.1,2, Chashchin А.V.2, Grabovoy А.V.1,2, Kildyakov А.S.2, Chekhovich Y.V.2,3
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Affiliations:
- Moscow Institute of Physics and Technology (National Research University)
- Antiplagiat Company
- Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
- Issue: No 4 (2024)
- Pages: 41-48
- Section: SOFTWARE ENGINEERING, TESTING AND VERIFICATION OF PROGRAMS
- URL: https://rjmseer.com/0132-3474/article/view/675689
- DOI: https://doi.org/10.31857/S0132347424040048
- EDN: https://elibrary.ru/PTEUNV
- ID: 675689
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