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arXiv · 2112.13241

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

Luis-Gil Moreno-Jiménez·Juan-Manuel Torres-Moreno·Roseli S. Wedemann
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Abstract

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.

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Luis-Gil Moreno-Jiménez, Juan-Manuel Torres-Moreno, Roseli S. Wedemann. 2021-12-25. A Preliminary Study for Literary Rhyme Generation based on Neuronal Representation, Semantics and Shallow Parsing. https://arxiv.org/abs/2112.13241

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