15. A computer-implemented method comprising: a processor setting probabilities for sequences of position-dependent phonetic tokens through steps comprising developing cross-word counts for sequences of position-dependent phonetic tokens that span multiple words based on probabilities of sequences of multiple words that the sequences of position-dependent phonetic tokens span; and the processor storing the probabilities for sequences of position-dependent phonetic tokens as part of a position-dependent phonetic language model.
15. A computer-implemented method comprising: a processor setting probabilities for sequences of position-dependent phonetic tokens through steps comprising developing cross-word counts for sequences of position-dependent phonetic tokens that span multiple words based on probabilities of sequences of multiple words that the sequences of position-dependent phonetic tokens span; and the processor storing the probabilities for sequences of position-dependent phonetic tokens as part of a position-dependent phonetic language model. 16. The computer-implemented method of claim 15 wherein setting probabilities for sequences of position-dependent phonetic tokens further comprises developing within-word counts for sequences of position-dependent phonetic tokens that are bounded within individual words based on unigram probabilities of the words that the sequences of position-dependent phonetic tokens are bound within.