This paper introduces the NLP-TEA 2015 shared task for Chinese grammatical error diagnosis. We describe the task, data preparation, performance metrics, and evaluation results. The hope is that such an evaluation campaign may produce more advanced Chinese grammatical error diagnosis techniques. All data sets with gold standards and evaluation tools are publicly available for research purposes.
In the NLP-TEA shared tasks REF , detection of four grammatical errors are targeted.
Overview of the NLP-TEA 2015 Shared Task for Chinese Grammatical Error Diagnosis
NLP-TEA@ACL/IJCNLP
Computer Science