To validate the generated error corpus, we carried out some preliminary experiments on collocation error recognition and classification, using LSTMs, in which we achieved an average precision of 0.95 and an average recall of 0.67.
a list of irregular determiners together with number inflection rules is used for the former, while a suffix map is used for the latter.