To address the mismatch, they partition the training documents by their metadata attributes and compute a measure of the likelihood that an n-gram will appear in a new partitioned segment.
nevertheless, n-gram weighting consistently reduces the absolute test set WER by a statistically significant average of 0.3%, according to the Matched Pairs Sentence Segment Word Error test (Pallet et al., 1990).