activity
20222024
most citedA machine transliteration tool between Uzbek alphabets

7 citations · 23 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2024★ 1 cited

UzMorphAnalyser: A Morphological Analysis Model for the Uzbek Language Using Inflectional Endings

Ulugbek Salaev

As Uzbek language is agglutinative, has many morphological features which words formed by combining root and affixes. Affixes play an important role in the morphological analysis o…

cs.CL2023★ 7 cited

Design and Implementation of a Tool for Extracting Uzbek Syllables

Ulugbek Salaev, Elmurod Kuriyozov, Gayrat Matlatipov

The accurate syllabification of words plays a vital role in various Natural Language Processing applications. Syllabification is a versatile linguistic tool with applications in li…

cs.CL2023★ 4 cited

Text classification dataset and analysis for Uzbek language

Elmurod Kuriyozov, Ulugbek Salaev, Sanatbek Matlatipov +1

Text classification is an important task in Natural Language Processing (NLP), where the goal is to categorize text data into predefined classes. In this study, we analyse the data…

cs.CL2022

Uzbek affix finite state machine for stemming

Maksud Sharipov, Ulugbek Salaev

This work presents a morphological analyzer for the Uzbek language using a finite state machine. The proposed methodology is a morphologic analysis of Uzbek words by using an affix…

cs.CL2022★ 7 cited

A machine transliteration tool between Uzbek alphabets

Ulugbek Salaev, Elmurod Kuriyozov, Carlos Gómez-Rodríguez

Machine transliteration, as defined in this paper, is a process of automatically transforming written script of words from a source alphabet into words of another target alphabet w…

cs.CL2022★ 4 cited

SimRelUz: Similarity and Relatedness scores as a Semantic Evaluation dataset for Uzbek language

Ulugbek Salaev, Elmurod Kuriyozov, Carlos Gómez-Rodríguez

Semantic relatedness between words is one of the core concepts in natural language processing, thus making semantic evaluation an important task. In this paper, we present a semant…