A Meta Learning Approach to Grammatical Error Correction

We introduce a novel method for grammatical error correction with a number of small corpora. To make the best use of several corpora with different characteristics, we employ a meta-learning with several base classifiers trained on different corpora. This research focuses on a grammatical error correction task for article errors. A series of experiments is presented to show the effectiveness of the proposed approach on two different grammatical error tagged corpora.

• Type: Journal
• Year: 2012
• Where: ACL
• Authors: Hongsuck Seo, Jonghoon Lee, Seokhwan Kim, Kyusong Lee, Sechun Kang, Gary Geunbae Lee
• Keywords: ACL 2012, Computational Linguistics, Corpora, Error Correction, Grammatical Error