O‘ZBEK TILIDAGI MATNLARDA MORFOLOGIK TAHLILNING AVTOMATLASHTIRILISHI
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Keywords

o‘zbek tili, morfologik tahlil, avtomatlashtirish, tabiiy tilni qayta ishlash, agglutinativ til, tokenizatsiya, lemmatizatsiya, sun’iy intellekt.

Abstract

Ushbu tezisda o‘zbek tilidagi matnlarni morfologik jihatdan avtomatik tahlil qilishning nazariy va amaliy asoslari yoritiladi. O‘zbek tilining agglutinativ xususiyatlari, so‘z o‘zagiga grammatik qo‘shimchalarning ketma-ket qo‘shilishi hamda so‘z shakllarining xilma-xilligi avtomatlashtirilgan tahlil jarayonida yuzaga keladigan asosiy muammolar sifatida ko‘rib chiqiladi. Shuningdek, qoidaviy, statistik va neyron tarmoqlarga asoslangan yondashuvlarning imkoniyatlari tahlil qilinib, o‘zbek tilidagi elektron matnlarni qayta ishlash samaradorligini oshirish bo‘yicha tavsiyalar ishlab chiqiladi.

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References

1. Vaswani A., Shazeer N., Parmar N., et al. Attention Is All You Need // Advances in Neural Information Processing Systems. 2017. Vol. 30.

2. Jurafsky D., Martin J. H. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. 3rd ed. draft. Stanford University, 2023.

3. Bird S., Klein E., Loper E. Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit. Sebastopol: O’Reilly Media, 2009.

4. Manning C. D., Raghavan P., Schütze H. Introduction to Information Retrieval. Cambridge: Cambridge University Press, 2008.

5. Goldberg Y. Neural Network Methods for Natural Language Processing. San Rafael: Morgan & Claypool Publishers, 2017.