This paper presents the shared task of Chinese grammatical error diagnosis (CGED) which seeks to identify grammatical error types and their range of occurrence within sentences written by learners of Chinese as foreign language. We describe the task definition, and overview the data preparation, performance metrics, and evaluation results. We expected this evaluation campaign could lead to the development of more advanced NLP techniques for educational applications, especially for Chinese error detection and automatic correction. All data sets with gold standards and scoring scripts are made publicly available to researchers.
@InProceedings{RAO18.5, author = {Gaoqi Rao and Lung-Hao Lee}, title = {NLP for Chinese L2 Writing: Evaluation of Chinese Grammatical Error Diagnosis }, booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {may}, date = {7-12}, location = {Miyazaki, Japan}, editor = {Erhong Yang and Le Sun}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {979-10-95546-29-0}, language = {english} }
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