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In recent years, researchers in the area of Computational Creativity havestudied the human creative process proposing different approaches to reproduceit with a formal procedure. In this paper, we introduce a model for thegeneration of literary rhymes in Spanish, combining structures of language andneural network models %(\textit{Word2vec}).%, into a structure for semanticassimilation. The results obtained with a manual evaluation of the textsgenerated by our algorithm are encouraging.

A Preliminary Study for Literary Rhyme Generation based on Neuronal Representation, Semantics and Shallow Parsing