Genre Variation in Dependency Types: A Two-Level Genre Analysis Using the Czech National Corpus

Xinying Chen, Miroslav Kubát


Abstract
This paper examines how dependency type distributions vary across genres in the Czech National Corpus (SYN2020). Using a two-level genre classification, broad categories and fine-grained subgenres, we identify genre-sensitive syntactic patterns through relative frequency analysis. The results show that some dependency types (e.g. Atr ‘attribute’) vary consistently across genres, while others (e.g. ExD ‘part of discourse ellipsis’) show sensitivity only at the subgenre level. Our dependency-based approach extends common multidimensional analyses based on lexical-grammatical co-occurrences, directly capturing syntactic evidence and improving interpretability. Our findings also highlight the importance of fine-grained genre distinctions in revealing syntactic variation.
Anthology ID:
2025.depling-1.8
Volume:
Proceedings of the Eighth International Conference on Dependency Linguistics (Depling, SyntaxFest 2025)
Month:
August
Year:
2025
Address:
Ljubljana, Slovenia
Editors:
Eva Hajičová, Sylvain Kahane
Venues:
DepLing | WS | SyntaxFest
SIG:
SIGPARSE
Publisher:
Association for Computational Linguistics
Note:
Pages:
84–92
Language:
URL:
https://preview.aclanthology.org/transition-to-people-yaml/2025.depling-1.8/
DOI:
Bibkey:
Cite (ACL):
Xinying Chen and Miroslav Kubát. 2025. Genre Variation in Dependency Types: A Two-Level Genre Analysis Using the Czech National Corpus. In Proceedings of the Eighth International Conference on Dependency Linguistics (Depling, SyntaxFest 2025), pages 84–92, Ljubljana, Slovenia. Association for Computational Linguistics.
Cite (Informal):
Genre Variation in Dependency Types: A Two-Level Genre Analysis Using the Czech National Corpus (Chen & Kubát, DepLing-SyntaxFest 2025)
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PDF:
https://preview.aclanthology.org/transition-to-people-yaml/2025.depling-1.8.pdf