Created
July 3, 2017 06:56
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n-gramを作ってランダムに文章を生成するマルコフもどき
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package net.aruneko.markov | |
import scala.annotation.tailrec | |
import scala.io.Source | |
import scala.util.Random | |
object Main { | |
def main(args: Array[String]): Unit = { | |
val trigrams = Source.fromResource("kokoro.txt") | |
.getLines().filter(_ != "") | |
.map(makeNGram(3, _)) | |
.flatten.toArray.sorted.groupBy(identity).values | |
.map(grams => (grams.length, grams.head)).toArray | |
val rand = new Random() | |
val sentence = buildSentence(rand, trigrams) | |
println(sentence) | |
} | |
def makeNGram(n: Int, str: String): List[String] = { | |
@tailrec | |
def inner(n: Int, str: String, ngram: List[String]): List[String] = { | |
if (str.length <= n) { | |
str :: ngram | |
} else { | |
inner(n, str.tail, str.take(n) :: ngram) | |
} | |
} | |
inner(n, str, List()).reverse | |
} | |
def buildSentence(rand: Random, nGram: Array[(Int, String)]): String = { | |
@tailrec | |
def inner(rand: Random, nGram: Array[(Int, String)], sentence: String): String = { | |
val index = rand.nextInt(nGram.length) | |
val (_, next_string) = nGram(index) | |
if (next_string.contains("。")) { | |
sentence + next_string | |
} else { | |
inner(rand, nGram, sentence + next_string) | |
} | |
} | |
inner(rand, nGram, "") | |
} | |
} |
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