N-gramm metodi yordamida tinish belgilarini bashorat qilish

N-gramm metodi yordamida tinish belgilarini bashorat qilish

Authors

  • Adinaev Hushnudbek Saylboyevich
  • Kamolova Shohista Gulmirzayevna

Abstract

Tinish belgilari siz foydalanadigan so‗zlardan, jumlalarni tuzish usulidan va siz aytmoqchi bo‗lgan
tarkibdan muhimroq yoki biroz muhimroqdir. ―Tinish belgilari‖ atamasi yozuvchiga tinglovchilarga
jumlalar qayerda tugashini, qisqa pauza yoki uzoq pauza borligini, shuningdek, yozuvchi savol
berayotganini, tushuntirayotganini yoki qo‗shimcha ma'lumot berayotganligini ko‗rsatishga imkon
beradigan tizimni anglatadi. Yozuvchi bevosita tinglovchilar bilan

References

Guhr, O., Schumann, A.-K., Bahrmann, F., & Böhme, H.-J. (2021, May). FullStop: Multilingual Deep

Models for Punctuation Prediction.

Hamarashid, H. K., Saeed, S. A. M., & Rashid, T. A. (2020). Next word prediction based on the N-gram

model for Kurdish Sorani and Kurmanji. CoRR, abs/2008.01546. https://arxiv.org/abs/2008.01546

Peitz, S., Freitag, M., Mauser, A., & Ney, H. (2011). Modeling Punctuation Prediction as Machine

Translation. 238–245.

Raximov R.R., Sharipov M.S., Adinayev X.S.(2023, April). O‗zbek tili uchun tabiiy tilni qayta

ishlashda (NLP) mashinali o‗rganishning (Machine Learning) o‗rni. 45-52

Published

2024-06-07

How to Cite

Adinaev, H., & Kamolova, S. (2024). N-gramm metodi yordamida tinish belgilarini bashorat qilish: N-gramm metodi yordamida tinish belgilarini bashorat qilish. MODERN PROBLEMS AND PROSPECTS OF APPLIED MATHEMATICS, 1(01). Retrieved from https://ojs.qarshidu.uz/index.php/mp/article/view/537

Issue

Section

Computational linguistics