Previous approaches for estimating language models from multi-domain data have not accounted for the characteristic variations of style and content across domains.
"This thesis introduces two approaches that compensate for multi-domain differences, both representing``style""by part-of-speech (POS) sequences and``content""by the particular choice of words."