SAVOL GENERATSIYASIDA MATN TUZILISHI VA LINGVISTIK OMILLAR TAHLILI
##submission.downloads##
Mazkur maqolada savol generatsiyasida matn tuzilishi va lingvistik omillarning o‘rni tahlil qilinadi. Tadqiqotda savol hosil qilish jarayoni alohida gapni so‘roq shakliga aylantirish bilangina cheklanmasligi, balki matndagi axborot markazini aniqlash, gap bo‘laklari o‘rtasidagi munosabatlarni belgilash va semantik bog‘lanishlarni hisobga olish bilan bog‘liq ekani asoslanadi. O‘zbek tilining agglutinativ xususiyati sababli morfologik ko‘rsatkichlar savol shakllanishida muhim ahamiyat kasb etadi. Maqolada sintaktik, morfologik va semantik omillar matn tuzilishi doirasida ko‘rib chiqilib, ularning savolning mazmuniy aniqligi, grammatik to‘g‘riligi va tabiiyligiga ta’siri yoritiladi
1. Du X., Shao J., Cardie C. Learning to Ask: Neural Question Generation for Reading Comprehension. ACL, 2017.
2. Heilman M., Smith N. A. Automatic Factual Question Generation from Text. Carnegie Mellon University, 2011.
3. Kurdi G., Leo J., Parsia B., Sattler U., Al-Emari S. A Systematic Review of Automatic Question Generation for Educational Purposes. International Journal of Artificial Intelligence in Education, 2020.
4. Mulla N., Gharpure P. Automatic Question Generation: A Review of Methodologies, Datasets, Evaluation Metrics, and Applications, 2023.
5. Pan L., Lei W., Chua T.-S., Kan M.-Y. Recent Advances in Neural Question Generation. arXiv preprint arXiv:1905.08949, 2019.
6. Zhang R., Guo J., Chen L., Fan Y., Cheng X. A Review on Question Generation from Natural Language Text. ACM Transactions on Information Systems, 2021. Ha, to‘g‘ri.
7. Blšták M., Rozinajová V. Automatic Question Generation Based on Sentence Structure Analysis Using Machine Learning Approach. Natural Language Engineering, 2022.
8. Flor M., Riordan B. A Semantic Role-Based Approach to Open-Domain Automatic Question Generation. Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2018, pp. 254–263.
9. Das B., Majumder M., Phadikar S., Sekh A. A. Automatic Question Generation and Answer Assessment: A Survey. Research and Practice in Technology Enhanced Learning, 2021.
Mulkiiyat (c) 2026 «O‘zMU XABARLARI»

Ushbu ish quyidagi litsenziya asosida ruxsatlangan Kreativ Commons Attribution-NonCommercial-ShareAlike 4.0 International litsenziyasi asosida bu ish ruxsatlangan..




.jpg)

.png)




