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Maya Nlp subproject :modules:mynlp-transform
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package com.mayabot.nlp.transform;
import com.mayabot.nlp.Mynlp;
import com.mayabot.nlp.Mynlps;
import com.mayabot.nlp.collection.ahocorasick.AhoCoraickDoubleArrayTrieBuilder;
import com.mayabot.nlp.collection.ahocorasick.AhoCorasickDoubleArrayTrie;
import com.mayabot.nlp.resources.UseLines;
import com.mayabot.nlp.utils.CharSourceLineReader;
import java.io.IOException;
import java.util.TreeMap;
/**
* 繁简体转换基础词典
*
* @author jimichan
*/
public abstract class BaseTransformDictionary {
public abstract TreeMap loadDictionary();
private AhoCorasickDoubleArrayTrie trie;
TreeMap loadFromResource(String resourceName) {
TreeMap treeMap = new TreeMap<>();
try {
Mynlp mynlp = Mynlps.get();
CharSourceLineReader charSourceLineReader =
UseLines.lineReader(mynlp.getEnv().loadResource(resourceName).inputStream());
charSourceLineReader.forEachRemaining(
line -> {
String[] split = line.split("=");
if (split.length == 2) {
treeMap.put(split[0], split[1]);
}
}
);
} catch (IOException e) {
throw new RuntimeException(e);
}
return treeMap;
}
public BaseTransformDictionary() {
AhoCoraickDoubleArrayTrieBuilder builder = new AhoCoraickDoubleArrayTrieBuilder<>();
trie = builder.build(loadDictionary());
}
public String transform(String text) {
return this.transform(text.toCharArray());
}
public String transform(char[] charArray) {
final String[] wordNet = new String[charArray.length];
final int[] lengthNet = new int[charArray.length];
trie.parseText(charArray, (begin, end, value) -> {
int length = end - begin;
if (length > lengthNet[begin]) {
wordNet[begin] = value;
lengthNet[begin] = length;
}
});
StringBuilder sb = new StringBuilder(charArray.length);
for (int offset = 0; offset < wordNet.length; ) {
if (wordNet[offset] == null) {
sb.append(charArray[offset]);
++offset;
continue;
}
sb.append(wordNet[offset]);
offset += lengthNet[offset];
}
return sb.toString();
}
}