Adapting a model so that it takes into consideration the specific error patterns of the non-native writers was shown to be extremely helpful in the context of discriminative classifiers (Rozovskaya and Roth, 2010c;Rozovskaya and Roth, 2010b).
this method requires generating new training data and training a separate classifier for each source language.