Evolutionary Assistance in Alliteration and Allelic Drivel

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.

• Type: Conference
• Year: 2007
• Where: EVOW
• Authors: Raquel Hervás, Jason Robinson, Pablo Gervás
• Keywords: Artificial Intelligence, Bigram Language Model, Evolutionary Generator, EVOW 2007, Preferred Phoneme