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The model proposed by Heinrich et al. builds upon the one by Hinoshita et al. It adds visual input and thus shows how learning of language may not only be grounded in perception of verbal utterances, but also in visual perception.

Hinoshita et al. propose a model of natural language acquisition based on a multiple-timescale recurrent artificial neural network (MTRNN).