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Generación automática de frases literarias

  • Moreno Jiménez, Luis Gil [2] ; Torres-Moreno, Juan Manuel [3] Árbol académico ; S. Wedemann, Roseli [1] ; SanJuan, Eric [3]
    1. [1] Universidade do Estado do Rio de Janeiro

      Universidade do Estado do Rio de Janeiro

      Brasil

    2. [2] Universidad Tecnológica de la Selva
    3. [3] Université d'Avignon/LIA
  • Localización: Linguamática, ISSN 1647-0818, Vol. 12, Nº. 1, 2020, págs. 15-30
  • Idioma: español
  • DOI: 10.21814/lm.12.1.308
  • Títulos paralelos:
    • Automatic Generation of Literary Sentences
  • Enlaces
  • Resumen
    • español

      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.

    • English

      In this article, we regard the task of automatic generation of literary sentences, which is an important topic in the area of Computational Creativity. We propose three generative models mainly based on statistical algorithms and shallow parsing. The generated texts were evaluated by seven persons according to four criteria: grammar, coherence, context related, and an adaptation of the Turing test. We present preliminary results of their implementations that are quite encouraging.

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