CHALLENGES AND INNOVATIONS IN MODERN PHILOLOGY: BALANCING TRADITION AND TECHNOLOGY
https://doi.org/10.5281/zenodo.15547519
Kalit so‘zlar
Philology, Traditional Methods, Teaching Practices, Literary Translation, Computational Linguistics, Artificial Intelligence (AI), Machine Learning, Classical Languages, Cultural Context, Technology IntegrationAnnotasiya
This article explores the current challenges in modern philology, examining the impact of technological advancements, globalization, and outdated educational practices. It draws on five scholarly works to address key issues in the field. Kalandarov and Ermatova (2023) discuss how globalization and digital technologies are influencing linguistic research and the need for new methods in philology. Zhienbayeva, Mussakhanov, and Alimgazinova (2023) highlight the challenges of literary translation, particularly in preserving cultural meaning. Riemenschneider and Frank (2023) look at how artificial intelligence is reshaping the analysis of classical texts, with a focus on large language models. Cowen-Breen et al. (2023) showcase the practical use of AI in Greek philology with their “Logion” model. Finally, Zharylgapov (2021) critiques outdated teaching methods in literature education and calls for necessary reforms. This article brings together these diverse perspectives to offer a deeper understanding of the evolving nature of philology and its future challenges.
Foydalanilgan adabiyotlar ro‘yhati
Kalandarov, K. K., & Ermatova, R. K. (2023). Actual problems of modern linguistic research. International Journal of Advanced Research in Technology and Education (IJARTE), 3(2), 70–75. https://www.ijournal.uz/index.php/jartes/article/view/1334
Zhienbayeva, A. B., Mussakhanov, B. T., & Alimgazinova, D. T. (2023). Theoretical problems of literary translation. Bulletin of the Karaganda University. Philology Series, 109(1), 102–108.
https://philology-vestnik.ksu.kz/index.php/philology-vestnik/article/view/533
Riemenschneider, F., & Frank, A. (2023). Exploring large language models for classical philology. arXiv preprint.: https://arxiv.org/abs/2305.13698
Cowen-Breen, C., Brooks, C., Haubold, J., & Graziosi, B. (2023). Logion: Machine learning for Greek philology. arXiv preprint.: https://arxiv.org/abs/2305.01099
Zharylgapov, Zh. Zh. (2021). Methodological problems of studying and teaching national literature. Bulletin of the Karaganda University. Philology Series, 101(1), 150–154.
https://philology-vestnik.ksu.kz/index.php/philology-vestnik/article/view/254
