17. Apparatus as in claim 16 further comprising: model constructor means for determining the fenemic Markov model or fenemic Markov model sequence having the highest joint probability of producing the labels in a group of substrings formed by the correlator means.
17. Apparatus as in claim 16 further comprising: model constructor means for determining the fenemic Markov model or fenemic Markov model sequence having the highest joint probability of producing the labels in a group of substrings formed by the correlator means. 18. Apparatus as in claim 17 further comprising: training means for computing arc probabilities and label output probabilities for each fenemic Markov model including: means for choosing any string of labels generated for the subject word; means, coupled to the string choosing means, for forming a preliminary sample baseform from said any chosen string; and means, coupled to the sample baseform forming means and the storing means, for computing arc probabilities and label output probabilities.