Paper: Using First and Second Language Models to Correct Preposition Errors in Second Language Authoring

ACL ID W09-2110
Title Using First and Second Language Models to Correct Preposition Errors in Second Language Authoring
Venue Innovative Use of NLP for Building Educational Applications
Session
Year 2009
Authors

In this paper, we investigate a novel approach to correcting grammatical and lexical errors in texts written by second language authors. Contrary to previous approaches which tend to use unilingual models of the user's second language (L2), this new approach uses a sim- ple roundtrip Machine Translation method which leverages information about both the author’s first (L1) and second languages. We compare the repair rate of this roundtrip translation approach to that of an existing ap- proach based on a unilingual L2 model with shallow syntactic pruning, on a series of preposition choice errors. We find no statisti- cally significant difference between the two approaches, but find that a hybrid combina- tion of both does perform significantly better than eithe...