Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation

north american chapter of the association for computational linguistics, pp. 284-290, 2018.

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Abstract:

We combine two of the most popular approaches to automated Grammatical Error Correction (GEC): GEC based on Statistical Machine Translation (SMT) and GEC based on Neural Machine Translation (NMT). The hybrid system achieves new state-of-the-art results on the CoNLL-2014 and JFLEG benchmarks. This GEC system preserves the accuracy of SMT o...More

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