A selectively chosen example is the replacement from "discontinous" to "discontinuous", which never occurs in training.
similar errors of low edit distance also occur once in the dev set and never in training, but the CHAR+BI+DOM model filtered against the NUCLE corpus, hurt effectiveness for the phrase-based models.