Chinese Grammatical Error Diagnosis System Based on Hybrid Model
Xiupeng Wu, Peijie Huang, Wang Jundong, Qingwen Guo, Yuhong Xu, Chuping Chen · 2015
This paper describes our system in the Chinese Grammatical Error Diagnosis (CGED) task for learning Chinese as a Foreign Language (CFL).Our work adopts a hybrid model by integrating rulebased method and n-gram statistical method to detect Chinese grammatical errors, identify the error type and point out the position of error in the input sentences.Tri-gram is applied to disorder mistake.And the rest of mistakes are solved by the conservation rules sets.Empirical evaluation results demonstrate the utility of our CGED system.