As in existing statistical IM engines, parameters are estimated from a corpus whose sentences are segmented into words annotated with their pronunciations as follows: where F (•) denotes the frequency of a pair sequence in the corpus.
to IM engines based on a word n-gram model, ours does not require an additional model describing relationships between words and pronunciations, and thus it is much simpler and more practical.