An empirical study for Vietnamese dependency parsing

Dat Quoc Nguyen, Mark Dras, Mark Johnson

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

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%.
Original languageEnglish
Title of host publicationAustralasian Language Technology Association Workshop 2016
Subtitle of host publicationproceedings of the workshop
EditorsTrevor Cohn
Place of PublicationMelbourne, Australia
PublisherAustralasian Language Technology Association
Pages143-149
Number of pages7
Publication statusPublished - 1 Dec 2016
EventAustralasian Language Technology Association Workshop (14th : 2016) - Monash University, Caulfield, Australia
Duration: 5 Dec 20167 Dec 2016

Conference

ConferenceAustralasian Language Technology Association Workshop (14th : 2016)
CountryAustralia
CityCaulfield
Period5/12/167/12/16

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  • Cite this

    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.