Paper: Grammatical error correction using hybrid systems and type filtering

ACL ID W14-1702
Title Grammatical error correction using hybrid systems and type filtering
Venue International Conference on Computational Natural Language Learning
Session shared task
Year 2014
Authors

This paper describes our submission to the CoNLL 2014 shared task on grammatical error correction using a hybrid approach, which includes both a rule-based and an SMT system augmented by a large web- based language model. Furthermore, we demonstrate that correction type estima- tion can be used to remove unnecessary corrections, improving precision without harming recall. Our best hybrid system achieves state-of-the-art results, ranking first on the original test set and second on the test set with alternative annotations.