For instance, If we take those word sequences   Table 1 as training data and c _lci as feature pattern, and set .. research' as target word, we would train with a result containing a rule pattern = PERIOD) and derive the probabilities of P(VE (VII, PERIOD)) = 2/3 and P(.1VV I (Y1-1,PERIOD))= 1/3.
suppose that the target word wo has ambiguous categories of cl , c2 c , and the context patterns of patterni , pattern 2 ,..., pattern m, then the probability to assign tag ci to the target word wo is defined as follows: x=1 y=1 the probabilities of different patterns with the same candidate category are accumulated and normalized by the total probability distributed to all candidates as the probability of the candidate category.