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Ling@CASS Solution to the NLP-TEA CGED Shared Task 2018
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.
CMMC-BDRC Solution to the NLP-TEA-2018 Chinese Grammatical Error Diagnosis Task
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.
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