Typological Features for Multilingual Delexicalised Dependency Parsing

Manon Scholivet, Franck Dary, Alexis Nasr, Benoit Favre, Carlos Ramisch


Abstract
The existence of universal models to describe the syntax of languages has been debated for decades. The availability of resources such as the Universal Dependencies treebanks and the World Atlas of Language Structures make it possible to study the plausibility of universal grammar from the perspective of dependency parsing. Our work investigates the use of high-level language descriptions in the form of typological features for multilingual dependency parsing. Our experiments on multilingual parsing for 40 languages show that typological information can indeed guide parsers to share information between similar languages beyond simple language identification.
Anthology ID:
N19-1393
Volume:
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota
Editors:
Jill Burstein, Christy Doran, Thamar Solorio
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3919–3930
Language:
URL:
https://aclanthology.org/N19-1393
DOI:
10.18653/v1/N19-1393
Bibkey:
Cite (ACL):
Manon Scholivet, Franck Dary, Alexis Nasr, Benoit Favre, and Carlos Ramisch. 2019. Typological Features for Multilingual Delexicalised Dependency Parsing. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 3919–3930, Minneapolis, Minnesota. Association for Computational Linguistics.
Cite (Informal):
Typological Features for Multilingual Delexicalised Dependency Parsing (Scholivet et al., NAACL 2019)
Copy Citation:
PDF:
https://aclanthology.org/N19-1393.pdf
Data
Universal Dependencies