Work

Uzbek 65 million web corpus FastText model

Year: 2026

Type: dataset

Abstract: FastText model developed from 65 million Uzbek web corpus (10.5281/zenodo.19462612). The model can be used for efficient text representation via Word embeddings (vector representations). A simple Python script for loading and using the model. FastText is a lightweight, open-source library developed by Facebook AI Research for efficient text representation and classification. The FastText implementation used to produce the model, which can later be used for the model, was Gensim.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19451909

Authors: Khajibaeva, Surayyo, Madatov, Khabibula, Vičič, Jernej

Institutions: Urgench State University, University of Primorska

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7152065831

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