Abstract
The paper describes an attempt to create a poetry generator for Polish language. It is a data-driven approach – grammatical and semantic structures are automatically derived from input text. The system was successfully implemented and the quality of the output “poems” was tested in a “Poetic Turing Test”: a public survey. Its participants have been asked to distinguish between human written and computer generated poetry.
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Korzeniowski, M., Mazurkiewicz, J. (2017). Data-Driven Polish Poetry Generator. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science(), vol 10246. Springer, Cham. https://doi.org/10.1007/978-3-319-59060-8_44
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DOI: https://doi.org/10.1007/978-3-319-59060-8_44
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