Figure 1.

The possible predictive relationships labels (in morphological terms, series of words and affixes) can enter into with the other features of the world (or other elements of a code). A feature-to-label relationship (A) will facilitate cue competition between features, and the abstraction of the informative dimensions that predict morphological contrasts (e.g., nouns and plural affixes) in learning. By contrast, a label-to-feature relationship (B) will be constrained to simply learning the probability of each feature given the label.