@inproceedings{cibej-2025-computational,
title = "A Computational Method for Analyzing Syntactic Profiles: The Case of the {ELEXIS}-{WSD} Parallel Sense-Annotated Corpus",
author = "{\v{C}}ibej, Jaka",
editor = "Chen, Xinying and
Wang, Yaqin",
booktitle = "Proceedings of the Third Workshop on Quantitative Syntax (QUASY, SyntaxFest 2025)",
month = aug,
year = "2025",
address = "Ljubljana, Slovenia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.quasy-1.9/",
pages = "63--71",
ISBN = "979-8-89176-293-0",
abstract = "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."
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<abstract>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.</abstract>
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%0 Conference Proceedings
%T A Computational Method for Analyzing Syntactic Profiles: The Case of the ELEXIS-WSD Parallel Sense-Annotated Corpus
%A Čibej, Jaka
%Y Chen, Xinying
%Y Wang, Yaqin
%S Proceedings of the Third Workshop on Quantitative Syntax (QUASY, SyntaxFest 2025)
%D 2025
%8 August
%I Association for Computational Linguistics
%C Ljubljana, Slovenia
%@ 979-8-89176-293-0
%F cibej-2025-computational
%X 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.
%U https://aclanthology.org/2025.quasy-1.9/
%P 63-71
Markdown (Informal)
[A Computational Method for Analyzing Syntactic Profiles: The Case of the ELEXIS-WSD Parallel Sense-Annotated Corpus](https://aclanthology.org/2025.quasy-1.9/) (Čibej, Quasy-SyntaxFest 2025)
ACL