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@ -11,3 +11,28 @@ functions. I can think of these off the top of my head:
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* Assembler loop - takes structure above and outputs one word
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- Maybe should wrap in a sentence loop, line-by-line loop, paragraph loop,
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etc.
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Syntax aware generate is actually pretty bad. I think it forces it to be too
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random. The POS tagging is too error prone and fine-detailed.
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Ideas for the future:
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Pick one or two lines of the haiku from actual haiku or other poems. Then add a
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line or two from the corpus (e.g. trump tweets) that both fits the syllables and
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rhymes with the end(s) of the real poetic line. I think both sources could be
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ngram generated, but I think it would be ideal if they were picked wholesale
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from the source. The problem with that approach is that you'd also have to find
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a common word between the two source extractions so that the sentence doesn't
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abruptly shift between lines. Or, maybe that's a good thing? I guess I should
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try both.
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Maybe try just switching out the nouns, verbs, adjectives, and adverbs leaving
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the rest of the sentence structure largely intact after the tree replace?
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Use word similarity vectors to construct a sentence (or poem) around a central
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theme. E.g. construct something like the buffalo sentence: syntactically correct
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sentences, and maybe even semantically meaningful sentences, but in a totally
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novel form because of some arbitrary restriction (can only use the word
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"buffalo", or animal words, or onomatopoeias, or etc.).
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Integrate alliteration and rhyming.
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