package edu.fudan.nlp.pipe.seq.templet;
import edu.fudan.ml.types.Instance;
import edu.fudan.ml.types.alphabet.IFeatureAlphabet;
import edu.fudan.nlp.cn.Chars;
import edu.fudan.nlp.cn.Chars.StringType;
/**
* 字符串中字符组合模板
*
* @author xpqiu
*
*/
public class StringTypeTemplet implements Templet {
private static final long serialVersionUID = -4911289807273417691L;
private int id;
public StringTypeTemplet(int id) {
this.id = id;
}
/**
* {@inheritDoc}
*/
@Override
public int generateAt(Instance instance, IFeatureAlphabet features, int pos,
int... numLabels) {
String[][] data = ( String[][]) instance.getData();
int len = data[0][pos].length();
StringBuilder sb = new StringBuilder();
sb.append(id);
sb.append(':');
sb.append(pos);
sb.append(':');
String str = data[0][pos]; //这里数据行列和模板中行列相反
StringType type = Chars.getStringType(str);
String stype = type.name();
if(type == StringType.M){
if(str.length()>4 && str.startsWith("http:"))
stype = "U$";
else if(str.length()>4&&str.contains("@"))
stype = "E$";
else if(str.contains(":"))
stype = "T$";
}
sb.append(stype);
int index = features.lookupIndex(sb.toString(), numLabels[0]);
return index;
}
@Override
public int getOrder() {
return 0;
}
public int[] getVars() {
return new int[] { 0 };
}
public int offset(int... curs) {
return 0;
}
}