From b7f361ca786837dbdf1bcdaa68891f524aac351b Mon Sep 17 00:00:00 2001 From: Tyler Hallada Date: Wed, 22 Mar 2017 14:08:15 -0400 Subject: [PATCH] Push some notes --- notes.md | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/notes.md b/notes.md index 8319fc0..411b249 100644 --- a/notes.md +++ b/notes.md @@ -11,3 +11,20 @@ functions. I can think of these off the top of my head: * Assembler loop - takes structure above and outputs one word - Maybe should wrap in a sentence loop, line-by-line loop, paragraph loop, etc. + +Syntax aware generate is actually pretty bad. I think it forces it to be too +random. The POS tagging is too error prone and fine-detailed. + +Ideas for the future: + +Pick one or two lines of the haiku from actual haiku or other poems. Then add a +line or two from the corpus (e.g. trump tweets) that both fits the syllables and +rhymes with the end(s) of the real poetic line. I think both sources could be +ngram generated, but I think it would be ideal if they were picked wholesale +from the source. The problem with that approach is that you'd also have to find +a common word between the two source extractions so that the sentence doesn't +abruptly shift between lines. Or, maybe that's a good thing? I guess I should +try both. + +Maybe try just switching out the nouns, verbs, adjectives, and adverbs leaving +the rest of the sentence structure largely intact after the tree replace?