  In recent years, researchers in the area of Computational Creativity have
studied the human creative process proposing different approaches to reproduce
it with a formal procedure. In this paper, we introduce a model for the
generation of literary rhymes in Spanish, combining structures of language and
neural network models %(\textit{Word2vec}).%, into a structure for semantic
assimilation. The results obtained with a manual evaluation of the texts
generated by our algorithm are encouraging.
