Appeared in Proceedings of the Association for Computational Linguistics ( ACL ) 1997 482

We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning techniques, the system uses parse action examples acquired under supervision to generate a determinis-tic shift-reduce parser in the form of a decision structure. It relies heavily on context , as encoded in features which describe the morphological, syntactic, semantic and other aspects of a given parse state.