Abstract
In this paper, we describe a system for correcting grammatical errors in texts written by non-native learners. In our approach, a given sentence with syntactic features are sent to a number of modules, each focuses on a specific error type. A main program integrates corrections from these modules and outputs the corrected sentence. We evaluated our system on the official test data of the CoNLL-2014 shared task and obtained 0.30 in F-measure.
Cite
CITATION STYLE
Wu, J. C., Yen, T. H., Chang, J., Huang, G. C., Chang, J., Hsu, H. L., … Chang, J. S. (2014). NTHU at the CoNLL-2014 shared task. In CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task (pp. 91–95). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/w14-1712
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