9. The method as recited in claim 7 , wherein the global conditional probability matrix comprises an aggregate of partial conditional probability matrices from the plurality of processes.
9. The method as recited in claim 7 , wherein the global conditional probability matrix comprises an aggregate of partial conditional probability matrices from the plurality of processes. 10. The method as recited in claim 9 , wherein the partial conditional probability matrices are determined by summing the co-occurrences of a given pair of terms from the primary and secondary sets from each distinct set of documents and normalizing by the total occurrences in all documents globally, based on the global term statistics, of the term from the primary set.