You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
We currently poemify a block of text by running several matchers over it in parallel, then randomly choosing one successful match to use from all the matches that succeeded. I suspect it’s possible to produce better results by using something other than a purely random draw when selecting which of several matches to use.
Some hypothesized heuristics that might produce better results:
Prefer longer matches (i.e. matches containing more words) over shorter matches.
Prefer matches containing fewer pronouns.
Prefer matches containing fewer repeated words.
Parallelism: prefer matches that are similar to previously selected matches in grammatical structure and/or word choice. (This one in particular might do a lot to make entire pages of generated poetry feel more coherent, because it would encourage repetition of a few key words and/or sentence structures throughout the page.)
Maybe we could assign each match a score based on these (or similar) heuristics; sort the list of successful matches by score; and then perform a semi-random selection that’s biased towards the front of the sorted list using something like biased-rand-nth.
The text was updated successfully, but these errors were encountered:
We currently poemify a block of text by running several matchers over it in parallel, then randomly choosing one successful match to use from all the matches that succeeded. I suspect it’s possible to produce better results by using something other than a purely random draw when selecting which of several matches to use.
Some hypothesized heuristics that might produce better results:
Maybe we could assign each match a score based on these (or similar) heuristics; sort the list of successful matches by score; and then perform a semi-random selection that’s biased towards the front of the sorted list using something like biased-rand-nth.
The text was updated successfully, but these errors were encountered: