YOZUV MUALLIFINI IDENTIFIKATSIYA QILISH METODIKASIDA YANGI INNOVATSION YONDASHUVLAR
Keywords:
stilometriya, muallif identifikatsiyasi, sun’iy intellekt, mashinaviy o‘rganish, neyron tarmoqlar, tabiiy tilni qayta ishlash (NLP), katta ma’lumotlar, biometrik tahlil, lingvistik uslublar, innovatsion metodlar.Abstract
Ushbu maqolada yozuv muallifini identifikatsiya qilish metodikasida yuzaga kelayotgan yangi innovatsion yondashuvlar ilmiy jihatdan tahlil qilinadi. Stilometriya, sun’iy intellekt, mashinaviy o‘rganish va tabiiy tilni qayta ishlash texnologiyalarining o‘zaro integratsiyasi orqali muallifni aniqlash samaradorligi oshgani ko‘rsatib o‘tiladi. Adabiyotlar sharhi asosida mavjud yondashuvlar baholanadi, yangi texnologik vositalarning afzalliklari va qo‘llanish sohalari yoritiladi. Neyron tarmoqlar, katta ma’lumotlar va bulutli hisoblash asosida ishlab chiqilgan ilg‘or usullar asosida tahliliy natijalar keltiriladi hamda kelgusidagi ilmiy-tadqiqot yo‘nalishlariga oid takliflar bildiriladi.
References
Mosteller, F., & Wallace, D. L. (1964). Inference and Disputed Authorship: The Federalist. Reading, MA: Addison-Wesley.
Stamatatos, E. (2009). A survey of modern authorship attribution methods. Journal of the American Society for Information Science and Technology, 60(3), 538–556.
Juola, P. (2006). Authorship attribution. Foundations and Trends® in Information Retrieval, 1(3), 233–334.
Koppel, M., Schler, J., & Argamon, S. (2009). Computational methods in authorship attribution. Journal of the American Society for Information Science and Technology, 60(1), 9–26.
Zelikov, O. V., & Belenkaya, L. V. (2020). Methods of author identification based on stylometric analysis. Artificial Intelligence and Decision Making, 2, 45–52.
Karimov, B. (2021). Stilistik birliklar asosida matn muallifligini aniqlash masalalari. O‘zbek tilshunosligi jurnalining maxsus soni, 3(1), 112–118.
Iskandarova, D. (2020). Lingvistik ekspertizada stilometriya metodlari. Toshkent davlat yuridik universiteti ilmiy axborotnomasi, 2(3), 79–84.
Vaswani, A., Shazeer, N., Parmar, N., et al. (2017). Attention is all you need. Advances in Neural Information Processing Systems (NeurIPS).
Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2019). BERT: Pre-training of deep bidirectional transformers for language understanding. Proceedings of NAACL-HLT, 4171–4186.
Ibragimov, X. (2019). Sun’iy intellekt va lingvistik tahlil: imkoniyatlar va istiqbollar. Innovatsion ilmiy tadqiqotlar jurnali, 4(2), 55–61.
