Developing a Universal Dependencies Treebank for Ukrainian Parliamentary Speech
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3A7Y9A4U3J" target="_blank" >RIV/00216208:11320/26:7Y9A4U3J - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2025.unlp-1.7/" target="_blank" >https://aclanthology.org/2025.unlp-1.7/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/2025.unlp-1.7" target="_blank" >10.18653/v1/2025.unlp-1.7</a>
Alternative languages
Result language
angličtina
Original language name
Developing a Universal Dependencies Treebank for Ukrainian Parliamentary Speech
Original language description
This paper presents a new Universal Dependencies (UD) treebank based on Ukrainian parliamentary transcripts, complementing the existing UD resources for Ukrainian. The corpus includes manually annotated texts from key historical sessions of the Verkhovna Rada, capturing not only official rhetoric but also features of colloquial spoken language. The annotation combines UDPipe2 and TagText parsers, with subsequent manual correction to ensure syntactic and morphological accuracy. A detailed comparison of tagsets and the disambiguation strategy employed by TagText is provided. To demonstrate the applicability of the resource, the study examines vocative and nominative case variation in direct address using a large-scale UD-annotated corpus of parliamentary texts.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Fourth Ukrainian Natural Language Processing Workshop (UNLP 2025)
ISBN
979-8-89176-269-5
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
55-63
Publisher name
Association for Computational Linguistics
Place of publication
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Event location
Vienna, Austria (online)
Event date
Jan 1, 2026
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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