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Corpus-based Language Universals Analysis using Universal Dependencies ; Analyse orientée corpus d'universaux linguistiques sur Universal Dependencies
In: SyntaxFest Quasy 2021 - Quantitative Syntax ; https://hal.inria.fr/hal-03501774 ; SyntaxFest Quasy 2021 - Quantitative Syntax, Mar 2022, Sofia, Bulgaria (2022)
Abstract: International audience ; This paper presents experiments aiming at verifying Greenberg's universals based on Universal Dependencies (UD) corpora (de Marneffe et al., 2021). We adopt a corpus-based approach that allows us to highlight inconsistencies between corpora of the same language and to explore the causes of these inconsistencies. In addition to intra-language inconsistency, our analysis on 141 corpora, i.e. 74 languages, also shows cross-language inconsistency and questions the adaptability of UD annotations for some linguistic concepts.
Keyword: [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [INFO]Computer Science [cs]
URL: https://hal.inria.fr/hal-03501774v2/file/QUASY2021_annexe.pdf
https://hal.inria.fr/hal-03501774v2/document
https://hal.inria.fr/hal-03501774
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Corpus-based Language Universals Analysis using Universal Dependencies ; Analyse orientée corpus d'universaux linguistiques sur Universal Dependencies
In: Quasy (Quantitative Syntax), SyntaxFest 2021 ; https://hal.inria.fr/hal-03501774 ; Quasy (Quantitative Syntax), SyntaxFest 2021, Mar 2022, Sofia, Bulgaria (2022)
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Analyse orientée corpus d'universaux de Greenberg sur Universal Dependencies
In: Journées LIFT 2021 - Linguistique informatique, formelle et de terrain ; https://hal.inria.fr/hal-03462112 ; Journées LIFT 2021 - Linguistique informatique, formelle et de terrain, GDR LIFT - Linguistique Informatique, Formelle et de Terrain, Dec 2021, Grenoble, France (2021)
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