NMTbased systems thus may help ameliorate the lack of large error-annotated learner corpora for GEC.
nMT models typically limit vocabulary size on both source and target sides due to the complexity of training (Sutskever et al., 2014;Luong et al., 2015;Jean et al., 2015).