Learning Paradigms in Time and Space: Computational Evidence from Romance Languages*
In the linguistic literature, paradigms have enjoyed a hybrid status, half‐way between entrenched patterns of lexical organization and processing structures enforcing global constraints on the output of traditional inflection rules. We describe here an original computational model of the mental lexicon where paradigmatic structures emerge through learning as the by‐product of the endogenous dynamics of lexical memorization as competitive self‐organization, based on the complementary principles of formal contrast (in space) and association biuniqueness (in time).
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