This is due to the limitations of the training data: we obtain the ill-formed words and their standard forms from the SMS corpus, but the ill-formed words in the SMS corpus are not sufficient to cover those in the Twitter data (and we don't have sufficient Twitter data to train the SMT method directly).
novel ill-formed words are missed in normalisation.