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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Hervás, R., Robinson, J., & Gervas, P. (2007). Evolutionary assistance in alliteration and allelic drivel. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4448 LNCS, pp. 537–546). Springer Verlag. https://doi.org/10.1007/978-3-540-71805-5_59
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