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
I treat an input as a 2d array -- lines vs words -- and pad it so that all of the lines are of the maximum length. Then, I make a markov model wherein, for each word, I keep track of the words that occur above, below, before, and after.
To generate the output, I create a blank word array of equivalent size, seed exactly one cell from the input, and then fill in the rest of the document by cross formations -- starting from the seeded cell, I fill in all four adjacent sections (by randomly choosing from the markov model, with the existing item in that cell -- if any -- added as an option), and then proceed in all directions.
I treat an input as a 2d array -- lines vs words -- and pad it so that all of the lines are of the maximum length. Then, I make a markov model wherein, for each word, I keep track of the words that occur above, below, before, and after.
To generate the output, I create a blank word array of equivalent size, seed exactly one cell from the input, and then fill in the rest of the document by cross formations -- starting from the seeded cell, I fill in all four adjacent sections (by randomly choosing from the markov model, with the existing item in that cell -- if any -- added as an option), and then proceed in all directions.
Code: https://github.com/enkiv2/misc/blob/master/nanogenmo-2017/2d-markov.py
Output: https://github.com/enkiv2/misc/blob/master/nanogenmo-2017/2dneuro.txt
Next steps: I would like to use word2vec to sum the existing word with the newly chosen option, rather than typically replacing it altogether.
The text was updated successfully, but these errors were encountered: