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Document-level grammatical error correction

2021-04-01EACL (BEA) 2021Code Available1· sign in to hype

Zheng Yuan, Christopher Bryant

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Abstract

Document-level context can provide valuable information in grammatical error correction (GEC), which is crucial for correcting certain errors and resolving inconsistencies. In this paper, we investigate context-aware approaches and propose document-level GEC systems. Additionally, we employ a three-step training strategy to benefit from both sentence-level and document-level data. Our system outperforms previous document-level and all other NMT-based single-model systems, achieving state of the art on a common test set.

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