Furthermore, T W E systems ArtDistr and ErrorDistr that use specific knowledge about article and error distributions, respectively, work better for Russian and Chinese groups than the General method that adds errors to the data uniformly at random.
to create training data that closely resemble text with naturally occurring errors, we use error frequency information and error distribution statistics obtained from corrected non-native text.