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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Main Authors: | Nilufar Abdurakhmonova, Raima Shirinova, Rano Sayfullayeva, Davlatyor Mengliev, Bahodir Ibragimov, Manzura Ernazarova |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-08-01
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Series: | Data in Brief |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925004329 |
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