Parallel Trees: a novel resource with aligned dependency and constituency syntactic representations.
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...
| Publicado en: | Language Resources & Evaluation Vol. 59; no. 4; pp. 3445 - 3486 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Springer Nature
Dec2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=189912016&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 189912016 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Dec2025 vid: 59 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 189912016 10.1007/s10579-025-09826-3 ppf: 3445 ppct: 41 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.9MB tig: atl: Parallel Trees: a novel resource with aligned dependency and constituency syntactic representations. aug: au: Alzetta, Chiara Miaschi, Alessio Dell'Orletta, Felice Venturi, Giulia Montemagni, Simonetta affil: https://ror.org/028g3pe33 Istituto di Linguistica Computazionale "A. Zampolli", CNR-ILC, ItaliaNLP Lab, via G. Moruzzi 1, Pisa, Italy su: Syntax (Grammar) Transformer models Structural linguistics Corpora Multilingualism Language models sug: subj: Syntax (Grammar) Transformer models Structural linguistics Corpora Multilingualism Language models keyword: Communication and Culture Linguistics Diagnostic probing paradigm Language Neural language model Parallel treebanks Syntactic representation ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2025. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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