This study proposes an approach based on the Conditional Random Fields (CRF) model for punctuation analysis of Uzbek language texts. The primary goal of the research is to ensure the structural integrity of texts by accurately identifying and placing punctuation marks in Uzbek texts. The CRF model, leveraging its sequence-based analytical capabilities, thoroughly examines words and their contextual features to predict the placement of punctuation marks. As part of the project, a specialized corpus for the Uzbek language is constructed, in which the relationships between each word and punctuation mark are annotated.
| Mualliflar | adinayev, xushnudbek, Sharipov, Maqsud |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2025-06-02 |
| Son | 2 |
| Betlar | 66-70 |
| Til | Rus |
Tinish belgilari, NLP, CRF model, F1 mezonlar.
Ush tadqiqot sun'iy intellekt modellari asosida iqtisodiy ko'rinishlarni ishlab chiqish aqlli algoritmlarini ishlab chiqarishga chiqarish. Jumladan, tadqiqot iqtisodiy iqtisodiy ko'rsatkichlar sifatida qaraladigan talab…
This paper examines the fundamental properties of personal data and explores anonymization as a strategic approach to safeguarding privacy. It outlines the stages involved in de-identifying personal data…
Abstract: This article examines the ElGamal encryption algorithm, an important component of modern cryptography. The basic principles of the algorithm, its mathematical foundations, and cryptographic security aspects…
The article describes the development of a mobile application that uses artificial intelligence to generate texts and images for educational purposes, as well as the principles of GPT operation and an overview of…
Ushbu maqolada infografika faol fikrlashni shakllantiradigan axborot mazmunini oshirish omillaridan biri sifatida muhokama qilinadi. Infografikaning ta’limiy ma’lumotlarni taqdim etishdagi imkoniyatlari hamda…
The ways of identifying hazardous gases released into the atmosphere and surrounding air by different production factories and businesses, the capabilities of the measuring instruments employed in their detection, and…
This article is devoted to the study of the possibilities of using one of the advanced artificial intelligence technologies – the artificial neural network algorithm in the effective solution of medical diagnostics…
Ushbu maqolada qishloq xo‘jaligi mahsulotlari narxlarini sun’iy intellekt (SI) asosida prognoz qilish va bozor tahlili uchun model yaratish masalasi ko‘rib chiqiladi. Narxlarning beqarorligi va bozor tahlilining…
This article proposes an approach to modeling the interconnection between artificial intelligence-based STT (Speech-to-Text), TTS (Text-to-Speech), and neural machine translation (NMT) systems using the IDEF1X data…
The aim of this study is to develop a comprehensive list of syntactic and morphological tags in Uzbek, which aims to create a dataset for natural language processing (NLP) problems in Uzbek. Based on existing tagset…