UCxn: Typologically Informed Annotation of Constructions Atop Universal Dependencies
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AT7YRPCD2" target="_blank" >RIV/00216208:11320/25:T7YRPCD2 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195888534&partnerID=40&md5=2d89a1b891ef791bcec85bbab1c4a08c" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195888534&partnerID=40&md5=2d89a1b891ef791bcec85bbab1c4a08c</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
UCxn: Typologically Informed Annotation of Constructions Atop Universal Dependencies
Popis výsledku v původním jazyce
The Universal Dependencies (UD) project has created an invaluable collection of treebanks with contributions in over 140 languages. However, the UD annotations do not tell the full story. Grammatical constructions that convey meaning through a particular combination of several morphosyntactic elements-for example, interrogative sentences with special markers and/or word orders-are not labeled holistically. We argue for (i) augmenting UD annotations with a “UCxn” annotation layer for such meaning-bearing grammatical constructions, and (ii) approaching this in a typologically informed way so that morphosyntactic strategies can be compared across languages. As a case study, we consider five construction families in ten languages, identifying instances of each construction in UD treebanks through the use of morphosyntactic patterns. In addition to findings regarding these particular constructions, our study yields important insights on methodology for describing and identifying constructions in language-general and language-particular ways, and lays the foundation for future constructional enrichment of UD treebanks. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.
Název v anglickém jazyce
UCxn: Typologically Informed Annotation of Constructions Atop Universal Dependencies
Popis výsledku anglicky
The Universal Dependencies (UD) project has created an invaluable collection of treebanks with contributions in over 140 languages. However, the UD annotations do not tell the full story. Grammatical constructions that convey meaning through a particular combination of several morphosyntactic elements-for example, interrogative sentences with special markers and/or word orders-are not labeled holistically. We argue for (i) augmenting UD annotations with a “UCxn” annotation layer for such meaning-bearing grammatical constructions, and (ii) approaching this in a typologically informed way so that morphosyntactic strategies can be compared across languages. As a case study, we consider five construction families in ten languages, identifying instances of each construction in UD treebanks through the use of morphosyntactic patterns. In addition to findings regarding these particular constructions, our study yields important insights on methodology for describing and identifying constructions in language-general and language-particular ways, and lays the foundation for future constructional enrichment of UD treebanks. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
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Návaznosti
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Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Jt. Int. Conf. Comput. Linguist., Lang. Resour. Eval., LREC-COLING - Main Conf. Proc.
ISBN
978-249381410-4
ISSN
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e-ISSN
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Počet stran výsledku
14
Strana od-do
16919-16932
Název nakladatele
European Language Resources Association (ELRA)
Místo vydání
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Místo konání akce
Torino, Italia
Datum konání akce
1. 1. 2025
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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