Automatic Detection of Preposition Errors in Learner Writing
Rachele De Felice, Stephen Pulman · CALICO Journal · 2009
In this article, we present an approach to the automatic correction of preposition errors in L2 English. Our system, based on a maximum entropy classifier, achieves average precision of 42% and recall of 35% on this task. The discussion of results obtained on correct and incorrect data aims to establish what characteristics of L2 writing prove particularly problematic in this task.