Neural Network Translation Models for Grammatical Error Correction

1 Jun 2016Shamil ChollampattKaveh TaghipourHwee Tou Ng

Phrase-based statistical machine translation (SMT) systems have previously been used for the task of grammatical error correction (GEC) to achieve state-of-the-art accuracy. The superiority of SMT systems comes from their ability to learn text transformations from erroneous to corrected text, without explicitly modeling error types... (read more)

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