A rule-based system for cross-lingual parsing of Romance languages with Universal Dependencies

Marcos Garcia, Pablo Gamallo


Abstract
This article describes MetaRomance, a rule-based cross-lingual parser for Romance languages submitted to CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. The system is an almost delexicalized parser which does not need training data to analyze Romance languages. It contains linguistically motivated rules based on PoS-tag patterns. The rules included in MetaRomance were developed in about 12 hours by one expert with no prior knowledge in Universal Dependencies, and can be easily extended using a transparent formalism. In this paper we compare the performance of MetaRomance with other supervised systems participating in the competition, paying special attention to the parsing of different treebanks of the same language. We also compare our system with a delexicalized parser for Romance languages, and take advantage of the harmonized annotation of Universal Dependencies to propose a language ranking based on the syntactic distance each variety has from Romance languages.
Anthology ID:
K17-3029
Volume:
Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
Month:
August
Year:
2017
Address:
Vancouver, Canada
Editors:
Jan Hajič, Dan Zeman
Venue:
CoNLL
SIG:
SIGNLL
Publisher:
Association for Computational Linguistics
Note:
Pages:
274–282
Language:
URL:
https://aclanthology.org/K17-3029
DOI:
10.18653/v1/K17-3029
Bibkey:
Cite (ACL):
Marcos Garcia and Pablo Gamallo. 2017. A rule-based system for cross-lingual parsing of Romance languages with Universal Dependencies. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 274–282, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):
A rule-based system for cross-lingual parsing of Romance languages with Universal Dependencies (Garcia & Gamallo, CoNLL 2017)
Copy Citation:
PDF:
https://aclanthology.org/K17-3029.pdf
Data
Universal Dependencies