Лингвистические исследования в эпоху развития искусственного интеллекта: русско-китайские параллельные корпусы

Доклады Башкирского университета. 2025. Том 10. № 4. С. 66-72.

Авторы


Павлова А. В.*
Оренбургский государственный университет
Аскарова Д. В.
Оренбургский государственный университет

Абстракт


Статья посвящена исследованию роли искусственного интеллекта (ИИ) в современных лингвистических исследованиях. Особое внимание уделено потенциалу нейросетевых методов в анализе и выявлении скрытых языковых закономерностей в параллельных русско‑китайских корпусах. Рассмотрены современные модели, технологии и ограничения их применения. Предложены перспективы развития методологии в контексте цифровизации и интерпретируемости.

Ключевые слова


  • linguistics
  • artificial intelligence
  • Russian
  • Chinese
  • language corpus

Литература


  1. Politova E., Bonetskaya N., Tihonova M., Podolskiy A., Panchenko A. Cross-Domain Analysis of Multilingual Pre-Trained Language Models // Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021). 2021. Pp. 1121–1129.
  2. Feng F., Yang Y., Cer D., Arivazhagan N., Wang W. Language-agnostic BERT Sentence Embedding // Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022). 2022. Vol. 1: Long Papers. Pp. 828–842.
  3. Wang Z., Mayhew S., Roth D. How do Languages Influence Each Other? Studying Cross-Lingual Data Sharing During LM Fine-tuning // Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2023. Pp. 13994–14012.
  4. Feng G., Zhang R., Zhang M., Liu Q. A General and Robust Framework for Importance Weighting Correction of Multilingual Contrastive Learning // Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). 2024. Vol. 1: Long Papers. Pp. 12583–12600.
  5. Danihelka J., Rychlý P. A Contextual Embeddings-Based Approach for Advanced Word Alignment in Parallel Corpora // Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). 2024. Pp. 11886–11896.
  6. Baker Mona. Corpus Linguistics and Translation Studies: Implications and Applications // Text and Technology: In Honour of John Sinclair / Edited by Mona Baker, Gill Francis, Elena Tognini-Bonelli. – Amsterdam / Philadelphia: John Benjamins Publishing Company, 1993. Pp. 233–250.
  7. Chesterman Andrew. Beyond the Particular // Translation Universals: Do They Exist? / Edited by Anna Mauranen, Pekka Kujamäki. Amsterdam / Philadelphia: John Benjamins Publishing Company, 2004. Pp. 33–49.

Linguistic research in the age of artificial intelligence:Russian-Chinese parallel corpora

Authors


Pavlova A. V.*
Orenburg State University
Askarova D. V.
Orenburg State University

Abstract


The article is devoted to the study of the role of artificial intelligence (AI) in modern linguistic research. Special attention is paid to the potential of neural network methods in the analysis and identification of hidden linguistic patterns in parallel Russian-Chinese corpora. Modern models, technologies, and limitations of their application are considered. Prospects for the development of methodology in the context of digitalization and interpretability are proposed.

Keywords


  • лингвистика
  • искусственный интеллект
  • русский язык
  • китайскийязык
  • корпус языка