VkoV
VkoV is a smart and easy-to-use
Markov Chain
Example:
import vkov { to_ngram, from_ngram }
sentences := [
"This is the example input string",
"This is another example string",
]
n_order := 1
// Generates N-Gram.
n_gram, beginnings := to_ngram(sentences, n_order) ?
// Uses N-Gram to generate new sentence.
output_string := from_ngram(n_gram, beginnings)
println(output_string)
Methods
to_ngram
The
to_ngram
-
input
- An array of strings that build up the lexicon. -
n_order
- A number (above 0) that determines the depth of the algorithm (lower number means quirkier responses.
The function returns two objects:
-
n_gram
- A map of strings and string arrays used to generate new sentences. -
beginnings
- An array of strings used to determine sentence starters.
from_ngram
The
from_ngram
-
n_gram
- A map of strings and string arrays, can be generated using to_ngram
. -
beginnings
- An array of strings, can be generated using to_ngram
The function returns 1 object:
-
result
- A string containing a randomly generated sentence based off of the 2 parameters.