CALICO Journal, Vol 26, No 3 (2009)

Automatic Detection of Preposition Errors in Learner Writing

Rachele De Felice, Stephen Pulman
Issued Date: 7 Aug 2014

Abstract


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.

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DOI: 10.1558/cj.v26i3.512-528

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