Abstract
Poetry generation is a challenging field in the area of natural language processing. A poem is a text structured according to predefined formal rules and whose parts are semantically related. In this work we present a novel automated system to generate poetry in Basque language conditioned by non-local constraints. From a given corpus two Markov chains representing forward and backward 2-grams are built. From these Markov chains and a semantic model, a system able to generate poems conforming a given metric and following semantic cues has been designed. The user is prompted to input a theme for the poem and also a seed word to start the generating process. The system produces several poems in less than a minute, enough for using it in live events.
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Acknowledgments
This paper has been supported by the Spanish Ministerio de Economía y Competitividad, contract TIN2015-64395-R (MINECO/FEDER, UE), as well as by the Basque Government, contract IT900-16. The authors gratefully acknowledge Bertsozale Elkartea (Association of the Friends of Bertsolaritza), whose verse corpora has been used to test and develop the proposed method.
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Astigarraga, A., Martínez-Otzeta, J.M., Rodriguez, I., Sierra, B., Lazkano, E. (2017). Markov Text Generator for Basque Poetry. In: Ekštein, K., Matoušek, V. (eds) Text, Speech, and Dialogue. TSD 2017. Lecture Notes in Computer Science(), vol 10415. Springer, Cham. https://doi.org/10.1007/978-3-319-64206-2_26
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DOI: https://doi.org/10.1007/978-3-319-64206-2_26
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