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This paper asks whether a distinction between production-based andperception-based grammar induction influences either (i) the growth curve ofgrammars and lexicons or (ii) the similarity between representations learnedfrom independent sub-sets of a corpus. A production-based model is trained onthe usage of a single individual, thus simulating the grammatical knowledge ofa single speaker. A perception-based model is trained on an aggregation of manyindividuals, thus simulating grammatical generalizations learned from exposureto many different speakers. To ensure robustness, the experiments arereplicated across two registers of written English, with four additionalregisters reserved as a control. A set of three computational experiments showsthat production-based grammars are significantly different fromperception-based grammars across all conditions, with a steeper growth curvethat can be explained by substantial inter-individual grammatical differences.

Production vs Perception: The Role of Individuality in Usage-Based Grammar Induction