我一直在寻找生成文本。
到目前为止我学到的是我将不得不使用单词级马尔可夫文本生成。我在这个网站上找到了一些例子。这里
现在知道这行不通，我还是尝试了它并将其复制到处理中。存在找不到正确库的错误。
有没有人已经做到了这一点，或者可以为我指出一个好的方向，以找到更多关于通过处理进行文本生成的信息。或者甚至是想要合作的人。开源，什么不是。
我想要的与网站上的示例并没有什么不同，除了字母计数应该是基于单词的，并且数据库是由我在那里输入的单词给出的。最后一部分可以更改为我仍在头脑风暴中的其他来源。但实际上一切都可以用文字来表达。如果您有任何想法，请随时贡献。
当我从其他论坛了解更多信息时，我会编辑这篇文章。因此，当有解决方案时，我可以将其传递给其他人。
编辑：基于点击的解决方案生成
// required imports for Processing
import java.util.Hashtable;
import java.util.Vector;
String inputFile = "Sonnet51.txt";
Markov markovChain1;
String sentence = "";
void setup() {
size (900, 500);
background(0);
markovChain1 = new Markov();
// load text
String[] input = loadStrings(inputFile);
for (String line : input) {
markovChain1.addWords(line);
println(line);
}
// generate a sentence!
sentence = markovChain1.generateSentence();
println("-------------");
}
void draw() {
background(0);
// noLoop();
fill(255);
text(sentence, 19, 190);
fill(2, 255, 2);
text("Please press mouse", 19, height-33);
}
void mousePressed() {
// generate a sentence!
sentence = markovChain1.generateSentence();
println(sentence);
}
// ==========================================
class Markov {
Hashtable<String, Vector<String>> markovChain =
new Hashtable<String, Vector<String>>();
Markov() {
markovChain.put("_start", new Vector<String>());
markovChain.put("_end", new Vector<String>());
}
void addWords(String line) {
String[] words = line.split(" ");
for (int i=0; i<words.length; i++) {
if (i == 0) {
Vector<String> startWords = markovChain.get("_start");
startWords.add(words[i]);
Vector<String> suffix = markovChain.get(words[i]);
if (suffix == null) {
suffix = new Vector<String>();
suffix.add(words[i+1]);
markovChain.put(words[i], suffix);
}
}
else if (i == words.length-1) {
Vector<String> endWords = markovChain.get("_end");
endWords.add(words[i]);
}
else {
Vector<String> suffix = markovChain.get(words[i]);
if (suffix == null) {
suffix = new Vector<String>();
suffix.add(words[i+1]);
markovChain.put(words[i], suffix);
}
else {
suffix.add(words[i+1]);
markovChain.put(words[i], suffix);
}
}
}
}
String generateSentence() {
String newPhrase = "";
String nextWord = "";
Vector<String> startWords = markovChain.get("_start");
int startWordsLen = startWords.size();
nextWord = startWords.get(int(random(startWordsLen)));
newPhrase += " " + nextWord;
while (nextWord.charAt (nextWord.length ()-1) != '.') {
Vector<String> wordSelection=null;
wordSelection = markovChain.get(nextWord);
if (wordSelection!=null) {
int wordSelectionLen = wordSelection.size();
nextWord = wordSelection.get(int(random(wordSelectionLen-1)));
newPhrase += " " + nextWord;
}
else
{
return newPhrase.toString();
}
}
return newPhrase.toString();
}
} // class
//
使用以下文本用于生成器。
Thus can my love excuse the slow offence
Of my dull bearer when from thee I speed
From where thou art why should I haste me thence
Till I return of posting is no need
O! what excuse will my poor beast then find
When swift extremity can seem but slow
Then should I spur though mounted on the wind.
In winged speed no motion shall I know.
Then can no horse with my desire keep pace.
Therefore desire of perfectst love being made.
Shall neigh no dull flesh in his fiery race;
But love for love thus shall excuse my jade.
Since from thee going, he went wilful-slow
Towards thee Ill run, and give him leave to go.
它完全有效，现在我可以开始更改它以制作更大的文本。我有人有想法让我知道。但这个案子为我解决了。感谢处理论坛的 ChrisIr。