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%.
|Title of host publication||Australasian Language Technology Association Workshop 2016|
|Subtitle of host publication||proceedings of the workshop|
|Place of Publication||Melbourne, Australia|
|Publisher||Australasian Language Technology Association|
|Number of pages||7|
|Publication status||Published - 1 Dec 2016|
|Event||Australasian Language Technology Association Workshop (14th : 2016) - Monash University, Caulfield, Australia|
Duration: 5 Dec 2016 → 7 Dec 2016
|Conference||Australasian Language Technology Association Workshop (14th : 2016)|
|Period||5/12/16 → 7/12/16|
Nguyen, D. Q., Dras, M., & Johnson, M. (2016). An empirical study for Vietnamese dependency parsing. In T. Cohn (Ed.), Australasian Language Technology Association Workshop 2016: proceedings of the workshop (pp. 143-149). Melbourne, Australia: Australasian Language Technology Association.