Paper: GenERRate: Generating Errors for Use in Grammatical Error Detection

ACL ID W09-2112
Title GenERRate: Generating Errors for Use in Grammatical Error Detection
Venue Innovative Use of NLP for Building Educational Applications
Session
Year 2009
Authors

This paper explores the issue of automatically generated ungrammatical data and its use in error detection, with a focus on the task of classifying a sentence as grammatical or un- grammatical. We present an error generation tool called GenERRate and show how Gen- ERRate can be used to improve the perfor- mance of a classifier on learner data. We de- scribe initial attempts to replicate Cambridge Learner Corpus errors using GenERRate.