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Maximum Spanning Malt: Hiring World's Leading Dependency Parsers to Plant Indian Trees

Publication at Faculty of Mathematics and Physics |
2009

Abstract

We present our system used for participation in the ICON 2009 NLP Tools Contest: dependency parsing of Hindi, Bangla and Telugu. The system consists of three existing, freely available dependency parsers, two of which (MST and Malt) have been known to produce state-of-the-art structures on data sets for other languages.

Various settings of the parsers are explored in order to adjust them for the three Indian languages, and a voting approach is used to combine them into a superparser.