Automatic orthographic error tagging and classification for German texts

Publication date: Available online 15 November 2017
Source:Computer Speech & Language
Author(s): Kay Berkling, Rémi Lavalley
This paper evaluates an automatic spelling error tagger and classifier for German texts. After explaining the existing error tags in detail, the accuracy of the tool is validated against a publicly available database containing around 1700 written texts ranging from first grade to eighth grade. The tool is then applied to a longitudinal study consisting of weekly children's texts from second and third grades. It can be shown which error categories contribute most significantly to children's error profiles. Additionally, it can be shown whether or not children make progress on improving in the categories under study.



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