A computer conversational system can potentially help a foreignlanguage student improve his/her fluency through practice dialogues. One of its potential roles could be to correct ungrammatical sentences. This paper describes our research on a sentence-level, generation-based approach to grammar correction: first, a word lattice of candidate corrections is generated from an ill-formed input. A traditional n-gram language model is used to produce a small set of N-best candidates, which are then reranked by parsing using a stochastic context-free grammar. We evaluate this approach in a flight domain with simulated ill-formed sentences. We discuss its potential applications in a few related tasks.
Cite as: Lee, J., Seneff, S. (2006) Automatic grammar correction for second-language learners. Proc. Interspeech 2006, paper 1299-Wed3A3O.1, doi: 10.21437/Interspeech.2006-542
@inproceedings{lee06g_interspeech,
author={John Lee and Stephanie Seneff},
title={{Automatic grammar correction for second-language learners}},
year=2006,
booktitle={Proc. Interspeech 2006},
pages={paper 1299-Wed3A3O.1},
doi={10.21437/Interspeech.2006-542}
}