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Previous grammar checkers support learners’ writing by indicating errors and correct usages. However, until the lack of linguistic knowledge that caused the errors is corrected, similar errors will recur. This study developed a learner corpus by annotating tags for the causes of article errors, and analyzed the distribution of error-cause tags with the aim of developing a technique to provide feedback on the causes of grammatical errors. The results suggested the necessity to extend error-cause tags, and the preferable extension conditions based on writing type and proficiency level.

Annotation of a Learner Corpus toward Development of an Error-cause Presenting Technique