8. The method of claim 1, further comprising the steps of: computing a count value for each count associated with the n-gram records, said count value being equal to log10(count); sorting each unique count value in descending order and generating an index to the sorted count values; and storing an index to said count values in said hypothesis records to represent said probability records.
8. The method of claim 1, further comprising the steps of: computing a count value for each count associated with the n-gram records, said count value being equal to log10(count); sorting each unique count value in descending order and generating an index to the sorted count values; and storing an index to said count values in said hypothesis records to represent said probability records. 9. The method of claim 8, further comprising the step of determining a series of lambda weights for said probability records on the run from said stored count values.