The LAIX Systems in the BEA-2019 GEC Shared Task

WS 2019 Ruobing LiChuan WangYefei ZhaYonghong YuShiman GuoQiang WangYang LiuHui Lin

In this paper, we describe two systems we developed for the three tracks we have participated in the BEA-2019 GEC Shared Task. We investigate competitive classification models with bi-directional recurrent neural networks (Bi-RNN) and neural machine translation (NMT) models... (read more)

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