A Hybrid Dependency Parser for Bangla

In this paper we describe a two-stage dependency parser for Bangla. In the first stage, we build a model using a Bangla dependency Treebank and subsequently this model is used to build a data driven Bangla parser. In the second stage, constraint based parsing has been used to modify the output of the data driven parser. This second stage module implements the Bangla specific constraints with the help of demand frames of Bangla verbs. The features of the words used in both these stages include morphological features like gender, number, person, etc., parts-of-speech tags, chunk tags and named entity tags. The evaluation results show that this two stage parser performs better than one stage parsers.