Language Production Dynamics with Recurrent Neural Networks

WS 2018 Jes{\'u}s CalvilloMatthew Crocker

We present an analysis of the internal mechanism of the recurrent neural model of sentence production presented by Calvillo et al. (2016). The results show clear patterns of computation related to each layer in the network allowing to infer an algorithmic account, where the semantics activates the semantically related words, then each word generated at each time step activates syntactic and semantic constraints on possible continuations, while the recurrence preserves information through time... (read more)

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