Corpus-based Syntactic Typological Methods for Dependency Parsing Improvement (CROSBI ID 76575)
Prilog u knjizi | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Alves, Diego ; Bekavac, Božo ; Zeman, Daniel ; Tadić, Marko
engleski
Corpus-based Syntactic Typological Methods for Dependency Parsing Improvement
This article presents a comparative analysis of four different syntactic typological approaches applied to 20 different languages to determine the most effective one to be used for the improvement of dependency parsing results via corpora combination. We evaluated these strategies by calculating the correlation between the language distances and the empirical LAS results obtained when languages were combined in pairs. From the results, it was possible to observe that the best method is based on the extraction of word order patterns which happen inside subtrees of the syntactic structure of the sentences.
corpus-based typology ; dependency parsing ; multilingualism
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Podaci o prilogu
76-88.
objavljeno
Podaci o knjizi
Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP (SIGTYP 2023)
Vylomova, Ekaterina
Stroudsburg, PA (USA): ACL
2023.
978-1-959429-56-2