An annotated morphological dataset for Uzbek word forms: Towards rule-based and machine learning approachesMendeley Data

This research paper presents a morphologically annotated dataset for the Uzbek language, specifically designed for morphological analysis algorithms. The dataset contains 3022 manually annotated word forms, each annotated with root, affix, and part-of-speech information. Two morphological analysis a...

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Bibliografiske detaljer

Principais autores:	Nilufar Abdurakhmonova, Raima Shirinova, Rano Sayfullayeva, Davlatyor Mengliev, Bahodir Ibragimov, Manzura Ernazarova
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2025-08-01
Serier:	Data in Brief
Fag:	Morphological analysis Low-resource languages Uzbek language Language corpus Linguistic research
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2352340925004329
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