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Annotated universal dependencies dataset for literary and educational Uzbek texts
Sanatbek Matlatipov1, Mersaid Aripov1, Makhmud Bobokandov1
1The National University of Uzbekistan is named after Mirzo Ulugbek. Universitet Street, 4, Olmazor District 100174, Tashkent City, Uzbekistan.
Data in Brief
|June 4, 2026
Summary
A new Uzbek Universal Dependencies (UD) treebank offers a gold-standard dataset for NLP research. This manually curated resource aids in developing and evaluating Uzbek language processing tools.
Area of Science:
- Computational Linguistics
- Natural Language Processing
- Low-Resource Language Technologies
Background:
- Existing Uzbek language resources are primarily web- or news-oriented.
- A domain-specific syntactic treebank is needed for literary and educational Uzbek texts.
- Universal Dependencies (UD) framework provides a standardized approach for cross-linguistic annotation.
Purpose of the Study:
- To release a manually curated, gold-standard Uzbek Universal Dependencies (UD) treebank.
- To provide a valuable syntactic resource for literary and educational Uzbek.
- To support the development and evaluation of NLP tools for Uzbek.
Main Methods:
- Annotation conducted using the INCEpTION environment.
- Adherence to the Universal Dependencies v2 framework.
- Involved a five-member team (linguists and NLP engineers) with rigorous quality control including double annotation and adjudication.
Main Results:
- A dataset comprising 681 sentences (7542 tokens) of literary and educational Uzbek text.
- High inter-annotator agreement achieved for lemmatization, UPOS tagging, and morphological features.
- The treebank is validated for compatibility with the Universal Dependencies ecosystem.
Conclusions:
- The released Uzbek UD treebank is a valuable, openly reusable syntactic resource.
- It facilitates the development and evaluation of Uzbek NLP tools like POS taggers and dependency parsers.
- Enables comparative and cross-lingual studies, particularly for low-resource languages.
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