Abstract
Grammatical error diagnosis is an essential part in a language-learning tutoring system. Participating in the second Chinese grammar error detection task, we proposed a new system which measures the likelihood of sentences generated by deleting, inserting, or exchanging characters or words. Two sentence likelihood functions were proposed based on frequencies of spaceremoved version of Google n-grams. The best system achieved a precision of 23.4% and a recall of 36.4% in the identification level.
Cite
CITATION STYLE
Lin, C. J., & Chen, S. H. (2015). NTOU Chinese Grammar Checker for CGED Shared Task. In Proceedings of the 2nd Workshop on Natural Language Processing Techniques for Educational Applications, NLP-TEA 2015 - in conjunction with the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2015 (pp. 15–19). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w15-4403
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