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.
@article{arxiv.2112.13241,
title = {A Preliminary Study for Literary Rhyme Generation based on Neuronal Representation, Semantics and Shallow Parsing},
author = {Luis-Gil Moreno-Jiménez and Juan-Manuel Torres-Moreno and Roseli S. Wedemann},
journal= {arXiv preprint arXiv:2112.13241},
year = {2021}
}