En este artı́culo abordamos el tema de la generación automática de frases literarias, que es una parte importante de los estudios relacionados al área de la Creatividad Computacional (CC). Proponemos tres modelos de generación textual guiados por un contexto, basados principalmente en algoritmos estadı́sticos y análisis sintáctico superficial. Los textos generados fueron evaluados por siete personas a partir de 4 criterios: gramaticalidad, coherencia, relación con el contexto y una adaptación del test de Turing, en donde se pidio a los evaluadores clasificar los textos en: textos generados automáticamente y textos generados por humanos. Los resultados obtenidos son bastante alentadores.

The area of Computational Creativity has received much attention in recent years. In this paper, within this framework, we propose a model for the generation of literary sentences in Spanish, which is based on statistical algorithms, shallow parsing and the automatic detection of personality features of characters of well known literary texts. We present encouraging results of the analysis of sentences generated by our methods obtained with human inspection.

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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 The results obtained with a manual evaluation of the texts generated by our algorithm are encouraging.