18. A method for performing speech recognition as defined in claim 17, comprising the steps of: a) for each candidate in the list searching the certain a priori data structure to extract a corresponding probability data element; and b) utilizing the probability data elements obtained at step a) to rank the candidates in said list in terms of likelihood of potential match with the spoken utterance.
18. A method for performing speech recognition as defined in claim 17, comprising the steps of: a) for each candidate in the list searching the certain a priori data structure to extract a corresponding probability data element; and b) utilizing the probability data elements obtained at step a) to rank the candidates in said list in terms of likelihood of potential match with the spoken utterance. 19. A method for performing speech recognition as defined in claim 18, comprising the steps of: a) providing a plurality of a priori data structures, each data structure establishing a correspondence between a plurality of vocabulary items in said speech recognition dictionary and corresponding probability data elements, each a priori data structure being assigned an identifier representative of a geographical location at which is located a terminal at which the user inputs the utterance, b) determining a value of said certain identifier; and c) searching the data structure corresponding to said certain identifier to extract probability data associated to several ones of the candidates.