Parsing in the absence of related languages: Evaluating low-resource dependency parsers on Tagalog

Angelina Aquino, Franz de Leon


Abstract
Cross-lingual and multilingual methods have been widely suggested as options for dependency parsing of low-resource languages; however, these typically require the use of annotated data in related high-resource languages. In this paper, we evaluate the performance of these methods versus monolingual parsing of Tagalog, an Austronesian language which shares little typological similarity with any existing high-resource languages. We show that a monolingual model developed on minimal target language data consistently outperforms all cross-lingual and multilingual models when no closely-related sources exist for a low-resource language.
Anthology ID:
2020.udw-1.2
Volume:
Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020)
Month:
December
Year:
2020
Address:
Barcelona, Spain (Online)
Venues:
COLING | UDW
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
8–15
Language:
URL:
https://www.aclweb.org/anthology/2020.udw-1.2
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.udw-1.2.pdf