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.
Partially supported by the Spanish Ministry of Education and Science project TIN2006-14433-C02-01.
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Hervás, R., Robinson, J., Gervás, P. (2007). Evolutionary Assistance in Alliteration and Allelic Drivel. In: Giacobini, M. (eds) Applications of Evolutionary Computing. EvoWorkshops 2007. Lecture Notes in Computer Science, vol 4448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71805-5_59
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DOI: https://doi.org/10.1007/978-3-540-71805-5_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71804-8
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