A Computational Method for Analyzing Syntactic Profiles: The Case of the ELEXIS-WSD Parallel Sense-Annotated Corpus
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AH8IIV78E" target="_blank" >RIV/00216208:11320/26:H8IIV78E - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2025.quasy-1.9/" target="_blank" >https://aclanthology.org/2025.quasy-1.9/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Computational Method for Analyzing Syntactic Profiles: The Case of the ELEXIS-WSD Parallel Sense-Annotated Corpus
Original language description
In the paper, we present an approach to comparing corpora annotated with dependency relations. The method relies on the compilation of syntactic profiles – numeric vectors representing the relative frequencies of different syntactic (sub)trees extracted automatically with the STARK 3.0 open-access dependency tree extraction tool. We perform the extraction on the ELEXIS-WSD Parallel Sense-Annotated Corpus, which has recently been published as version 1.2 with UD dependency relation annotations for 10 European languages. The corpus provides an additional resource for contrastive studies in quantitative syntax. In addition to presenting the corpus and conducting some proof-of-concept analyses, we discuss several other potential uses and improvements to the proposed approach.
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 Third Workshop on Quantitative Syntax
ISBN
979-8-89176-293-0
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
63-71
Publisher name
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Place of publication
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Event location
Ljubljana, Slovenia
Event date
Jan 1, 2026
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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