Модель редактирования последовательностей

method ID: sequenceeditingmodel

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Heterogeneous Recycle Generation for Chinese Grammatical Error Correction

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractMost recent works in the field of grammatical error correction (GEC) rely on neural machine translation-based models. Although these models boast impressive performance, they require a massive amount of data …...

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