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Telugu dependency parsing using different statistical parsers
2017
Journal of King Saud University: Computer and Information Sciences
In this paper we explore different statistical dependency parsers for parsing Telugu. We consider five popular dependency parsers namely, MaltParser, MSTParser, TurboParser, ZPar and Easy-First Parser. We experiment with different parser and feature settings and show the impact of different settings. We also provide a detailed analysis of the performance of all the parsers on major dependency labels. We report our results on test data of Telugu dependency treebank provided in the ICON 2010
doi:10.1016/j.jksuci.2014.12.006
fatcat:rg3isskzorbihb46fckkcrc3my