This paper presents an empirical comparison of different dependency parsers for Vietnamese, which has some unusual characteristics such as copula drop and verb serialization. Experimental results show that the neural network-based parsers perform significantly better than the traditional parsers. We report the highest parsing scores published to date for Vietnamese with the labeled attachment score (LAS) at 73.53% and the unlabeled attachment score (UAS) at 80.66%.
Cite
@article{arxiv.1611.00995,
title = {An empirical study for Vietnamese dependency parsing},
author = {Dat Quoc Nguyen and Mark Dras and Mark Johnson},
journal= {arXiv preprint arXiv:1611.00995},
year = {2016}
}
Comments
To appear in Proceedings of the 14th Annual Workshop of the Australasian Language Technology Association