Paper: System Combination for Grammatical Error Correction

ACL ID D14-1102
Title System Combination for Grammatical Error Correction
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014

Different approaches to high-quality grammatical error correction have been proposed recently, many of which have their own strengths and weaknesses. Most of these approaches are based on classi- fication or statistical machine translation (SMT). In this paper, we propose to com- bine the output from a classification-based system and an SMT-based system to improve the correction quality. We adopt the system combination technique of Heafield and Lavie (2010). We achieve an F 0.5 score of 39.39% on the test set of the CoNLL-2014 shared task, outperforming the best system in the shared task.