(Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus

WS 2019 Satoru KatsumataMamoru Komachi

We introduce unsupervised techniques based on phrase-based statistical machine translation for grammatical error correction (GEC) trained on a pseudo learner corpus created by Google Translation. We verified our GEC system through experiments on a low resource track of the shared task at BEA2019... (read more)

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