In practice, we found the average number of emissions per sentence in our corpus (where each symbol is counted as the number of its predecessor emissions) to be 455, where the average number of words per sentence is about 18.
the cost of operating over an ambiguous sentence representation increases the size of the sentence (from 18 to 455), but on the other hand, it reduces the probabilistic model by a factor of 10 (as discussed above).