Paper: Grammatical Error Correction with Alternating Structure Optimization

ACL ID P11-1092
Title Grammatical Error Correction with Alternating Structure Optimization
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

We present a novel approach to grammatical error correction based on Alternating Struc- ture Optimization. As part of our work, we introduce the NUS Corpus of Learner En- glish (NUCLE), a fully annotated one mil- lion words corpus of learner English available for research purposes. We conduct an exten- sive evaluation for article and preposition er- rors using various feature sets. Our exper- iments show that our approach outperforms two baselines trained on non-learner text and learner text, respectively. Our approach also outperforms two commercial grammar check- ing software packages.