Is poetry a peculiarity of human beings only? Can machines learn to generate poems that actually convey deep emotional meanings, just like human poets do?
A lot of work is still necessary to reach such goal, here we present a simple demo in which we trained two models to generate tercets and verses respectively learning from Dante and Petrarca Italian poets.

We treated the problem as an instance of Language Modelling. In the case of Dante’s tercets, we also applied a post processing to force the proper rhyme scheme ABA, typical of tercets in Divine Comedy, whereas for Petrarca’s Canzoniere we do only generate a single verse, so no further actions are taken.

Media Coverage

Nove da Firenze

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Publications

ICANN 2019: Neural Poetry: Learning to Generate Poems using Syllables