Cross-Lingual Dependency Parsing of Related Languages with Rich Morphosyntactic Tagsets (CROSBI ID 614513)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Agić, Željko ; Tiedemann, Jörg ; Dobrovoljc, Kaja ; Krek, Simon ; Merkler, Danijela ; Može, Sara
engleski
Cross-Lingual Dependency Parsing of Related Languages with Rich Morphosyntactic Tagsets
This paper addresses cross-lingual dependency parsing using rich morphosyntactic tagsets. In our case study, we experiment with three related Slavic languages: Croatian, Serbian and Slovene. Four different dependency treebanks are used for monolingual parsing, direct cross-lingual parsing, and a recently introduced cross-lingual parsing approach that utilizes statistical machine translation and annotation projection. We argue for the benefits of using rich morphosyntactic tagsets in cross-lingual parsing and empirically support the claim by showing large improvements over an impoverished common feature representation in form of a reduced part-of-speech tagset. In the process, we improve over the previous state-of-the-art scores in dependency parsing for all three languages.
cross-lingual parsing; dependency parsing; machine translation
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Podaci o prilogu
12-23.
2014.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the EMNLP 2014 Workshop on Language Technology for Closely Related Languages and Language Variants
Doha: Association for Computational Linguistics (ACL)
978-1-937284-96-1
Podaci o skupu
EMNLP 2014 Workshop on Language Technology for Closely Related Languages and Language Variants
predavanje
25.10.2014-29.10.2014
Doha, Katar