Instead, it builds a table of correspondences between semantic categories and morphological features, which are simply defined as sequences of 3-5 letters at the end of each word.
it takes the output of the previous algorithms as input and then associates, for instance, that terms ending with charecter sequences such as -itis or -osis are consistently classified as diseases.