Natural language processing architectures for contextual error detection in english academic writing
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The paper investigates the implementation of Natural Language Processing (NLP) technologies for automated error detection in English academic discourse. While traditional rule-based algorithms are limited to basic syntactic and lexical corrections, modern transformer-based architectures allow for deep semantic analysis and contextual disambiguation.
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Підопригора С. Ю., Чопляк В. В. Natural language processing architectures for contextual error detection in english academic writing // Матеріали Міжнародної науково-практичної інтернет-конференції «Молодь в науці: дослідження, проблеми, перспективи (МН-2026)», м. Вінниця, 22-26 червня 2026 р. Електрон. текст. дані. 2026. URI: https://conferences.vntu.edu.ua/index.php/mn/mn2026/paper/view/29484.
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- Jurafsky, D., & Martin, J. H. (2023). Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition (3rd ed.). Pearson. Leacock, C., Chodorow, M., Gamon, M., & Tetreault, J. (2014). Automated Grammatical Error Detection for Language Learners. Synthesis Lectures on Human Language Technologies, 7(1), 1-170. Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). Attention is all you need. Advances in Neural Information Processing Systems, 30, 5998-6008. Fitria, T. N. (2021). Grammarly as an AI-powered English Writing Assistant: Students' Alternative for Writing English. Metathesis: Journal of English Language, Literature, and Teaching, 5(1), 65-78. Nykyporets, S. S., Kot, S. O., Sabadosh, J. H., Chopliak, V. V., & Piddubchak, S. Y. (2025). Leveraging digital technologies in English phraseology research. Bulletin of Science and Education. Series: Philology, 10(40), 83-95. https://doi.org/10.52058/27866165-2025-10(40)-83-95. Nykyporets, S. S., Pradivlyanny, M. H., Boiko, Y. V., Chopliak, V. V., & Kukharchuk, H. V. (2024). Innovative techniques in vocabulary acquisition for foreign language learning: The impact of artificial intelligence. Society and National Interests. Series “Education/Pedagogy”, 5(5), 113-127. https://doi.org/10.52058/3041-1572-2024-5(5)-113-127. Nykyporets, S. S., Kot, S. O., Boiko, Y. V., Melnyk, M. B., & Chopliak, V. V. (2024). Advanced integration of virtual information environments (VIEs) in contemporary educational methodologies. Society and National Interests. Series “Education/Pedagogy”, 4(4), 139-154. https://doi.org/10.52058/3041-1572-2024-4(4)-139-154. Svitlana Y. Pidopryhora – Faculty of Information Technologies and Computer Engineering, Vinnytsia National Technical University, Vinnytsia, e-mail: sveta26pipodo@gmail.com. Scientific Supervisor: Victoria V. Chopliak – teacher of English, Foreign Languages Department, Vinnytsia National Technical University, Vinnytsia, e-mail: nikavnuchkova@gmail.com.