Paper: Grammar Error Correction Using Pseudo-Error Sentences and Domain Adaptation

ACL ID P12-2076
Title Grammar Error Correction Using Pseudo-Error Sentences and Domain Adaptation
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2012
Authors

This paper presents grammar error correction for Japanese particles that uses discrimina- tive sequence conversion, which corrects erro- neous particles by substitution, insertion, and deletion. The error correction task is hindered by the difficulty of collecting large error cor- pora. We tackle this problem by using pseudo- error sentences generated automatically. Fur- thermore, we apply domain adaptation, the pseudo-error sentences are from the source domain, and the real-error sentences are from the target domain. Experiments show that sta- ble improvement is achieved by using domain adaptation.