An LR-inspired generalized lexicalized phrase structure parser

The paper introduces an LR-based algorithm for efficient phrase structure parsing of morphologically rich languages. The algorithm generalizes lexicalized parsing (Collins, 2003) by allowing a structured representation of the lexical items. Together with a discriminative weighting component (Collins, 2002), we show that this representation allows us to achieve state of the art accurracy results on a morphologically rich language such as French while achieving more efficient parsing times than the state of the art parsers on the French data set. A comparison with English, a lexically poor language, is also provided.