Reinvestigating the Classification Approach to the Article and Preposition Error Correction

LTC, pp. 112-122, 2015.

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Abstract:

In this work, we reinvestigate the classifier-based approach to article and preposition error correction going beyond linguistically motivated factors. We show that state-of-the-art results can be achieved without relying on a plethora of heuristic rules, complex feature engineering and advanced NLP tools. A proposed method for detecting ...More

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