Parallel Trees: a novel resource with aligned dependency and constituency syntactic representations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AB9UNUZYC" target="_blank" >RIV/00216208:11320/26:B9UNUZYC - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s10579-025-09826-3" target="_blank" >http://dx.doi.org/10.1007/s10579-025-09826-3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10579-025-09826-3" target="_blank" >10.1007/s10579-025-09826-3</a>
Alternative languages
Result language
angličtina
Original language name
Parallel Trees: a novel resource with aligned dependency and constituency syntactic representations
Original language description
The paper introduces Parallel Trees, a novel multilingual treebank collection that includes 20 treebanks for 10 languages. The distinguishing property of this resource is that the sentences of each language are annotated using two syntactic representation paradigms (SRPs), respectively based on the notions of dependency and constituency. By aligning the annotations of existing resources, Parallel Trees represents an example of exploiting pre-existing treebanks to adapt them to novel applications. To illustrate its potential, we present a case study where the resource is employed as a benchmark to investigate whether and how BERT, one of the first prominent neural language models (NLMs), is sensitive to the dependency- and constituency-based approaches for representing the syntactic structure of a sentence. The case study results indicate that the model’s sensitivity fluctuates across languages and experimental settings. The unique nature of the Parallel Trees resource creates the prerequisites for innovative studies comparing dependency and phrase-structure trees, allowing for more focused investigations without the interference of lexical variation. © The Author(s) 2025.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
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
Name of the periodical
Language Resources and Evaluation
ISSN
1574-020X
e-ISSN
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Volume of the periodical
2025
Issue of the periodical within the volume
2025
Country of publishing house
US - UNITED STATES
Number of pages
41
Pages from-to
1-41
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105009058572