Dependency Parsing of Indian Languages with DeSR.
Giuseppe M. Attardi, Stefano Dei Rossi, Maria Simi · CINECA IRIS Institutial research information system (University of Pisa) · 2010
DeSR is a statistical transition-based dependency parser which learns from annotated corpora which actions to perform for building parse trees while scanning a sentence. We describe the experiments performed for the ICON 2010 Tools Contest on Indian Dependency Parsing. DesR was configured to exploit specific features from the Indian treebanks. The submitted run used a stacked combination of four configurations of the DeSR parser and achieved the best unlabeled accuracy scores in all languages. The contribution to the result of various choices is analyzed.