Automatically Generating Rhythmic Verse with Neural Networks

ACL 2017 Jack HopkinsDouwe Kiela

We propose two novel methodologies for the automatic generation of rhythmic poetry in a variety of forms. The first approach uses a neural language model trained on a phonetic encoding to learn an implicit representation of both the form and content of English poetry... (read more)

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