Using Large-scale Parser Output to Guide Grammar Development

This paper reports on guiding parser development by extracting information from output of a large-scale parser applied to Wikipedia documents. Data-driven parser improvement is especially important for applications where the corpus may differ from that originally used to develop the core grammar and where efficiency concerns affect whether a new construction should be added, or existing analyses modified. The large size of the corpus in question also brings scalability concerns to the foreground.