EvoPoem: Context Free Grammars for Automated Poetry Generation
Mooij, A.J. de
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In this thesis, we discuss various poetry generators. We present our own text synthesis and natural language generation algorithm that can be used with various machine learning technologies, as well as a setup for the final machine learning enabled poetry generator, which we call EvoPoem. The algorithm is able to produce short, grammatically correct sentences, and create a visual spacing that suggests rhythm. This algorithm uses a grammar, a lexicon and a feature and unification algorithm enriched with constraint satisfaction, to parse a string of bits deterministically into a potential poem.