Evolutionary Assistance in Alliteration and Allelic Drivel

  • Authors:
  • Raquel Hervás;Jason Robinson;Pablo Gervás

  • Affiliations:
  • Dep. Ingeniería del Software e Inteligencia Artificial, Universidad Complutense de Madrid, Spain;University of, Georgia, USA;Dep. Ingeniería del Software e Inteligencia Artificial, Universidad Complutense de Madrid, Spain

  • Venue:
  • Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
  • Year:
  • 2009

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Abstract

This paper presents an approximation towards an evolutionary generator of alliterative text. A simple text is given along with the preferred phoneme for alliterations as input. Then the evolutionary algorithm (with the aid of a phonemic transcriber, Microsoft Word and Google) will try to produce an alternative sentence while trying to preserve the initial meaning and coherence. A bigram language model and the evaluation of the phonetic analysis are used to assess the fitness of the sentences.