activity
20202024
most citedCross-Lingual Word Embeddings for Turkic Languages

10 citations · 32 across the 7 of their papers we have counts for

collaborators
Showing cs.CLShow all

6 papers · 1 filter

cs.CL2023★ 3 cited

UzbekTagger: The rule-based POS tagger for Uzbek language

Maksud Sharipov, Elmurod Kuriyozov, Ollabergan Yuldashev +1

This research paper presents a part-of-speech (POS) annotated dataset and tagger tool for the low-resource Uzbek language. The dataset includes 12 tags, which were used to develop…

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★ 4 cited

Uzbek Sentiment Analysis based on local Restaurant Reviews

Sanatbek Matlatipov, Hulkar Rahimboeva, Jaloliddin Rajabov +1

Extracting useful information for sentiment analysis and classification problems from a big amount of user-generated feedback, such as restaurant reviews, is a crucial task of natu…

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…

cs.CL2020★ 10 cited

Cross-Lingual Word Embeddings for Turkic Languages

Elmurod Kuriyozov, Yerai Doval, Carlos Gómez-Rodríguez

There has been an increasing interest in learning cross-lingual word embeddings to transfer knowledge obtained from a resource-rich language, such as English, to lower-resource lan…