no code implementations • WS 2018 • Qinan Hu, Yongwei Zhang, Fang Liu, Yueguo Gu
When using inputs as simple as Chinese characters, the ensembled system achieves a precision at 86. 56{\%} in the detection of erroneous sentences, and a precision at 51. 53{\%} in the correction of errors of Selection and Missing types.
no code implementations • WS 2018 • Yongwei Zhang, Qinan Hu, Fang Liu, Yueguo Gu
Chinese grammatical error diagnosis is an important natural language processing (NLP) task, which is also an important application using artificial intelligence technology in language education.