We evaluate the effect of adding parse features to a leading model of preposition usage. Results show a significant improvement in the preposition selection task on native speaker text and a modest increment in precision and recall in an ESL error detection task. Analysis of the parser output indicates that it is robust enough in the face of noisy non-native writing to extract useful information.
['Joel R. Tetreault', 'Jennifer Foster', 'Martin Chodorow']
Using Parse Features for Preposition Selection and Error Detection