Generating Haiku with Deep Learning (Part 1)

I’d like to get more examples of 5–7–5 haikus, or a way to train on any text and then produce haikus from it.Try out other neural network architectures, such as a simpler model where I input the syllable counts all up front and then generate the whole haiku instead of a line at a time.Try a phoneme-level model, similar to what Hopkins and Kiela used in their work..It would make it easier to learn syllables, because only specific phonemes carry syllable weight..But it introduces the complexity of mapping phonemes back to words.Use a generative adversarial network (GAN) in which a discriminator can evaluate the content and/or form of the haikus.Thanks to Abigail Pope-Brooks for editing and feedback.All the code and data used is available on github..Jeremy Neiman can be found doing equally pointless things on his website: More details

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