import com.hankcs.hanlp.corpus.tag.Nature; //导入方法依赖的package包/类
/**
* 执行识别
* @param segResult 粗分结果
* @param wordNetOptimum 粗分结果对应的词图
* @param wordNetAll 全词图
*/
public static void Recognition(List segResult, WordNet wordNetOptimum, WordNet wordNetAll)
{
StringBuilder sbName = new StringBuilder();
int appendTimes = 0;
ListIterator listIterator = segResult.listIterator();
listIterator.next();
int line = 1;
int activeLine = 1;
while (listIterator.hasNext())
{
Vertex vertex = listIterator.next();
if (appendTimes > 0)
{
if (vertex.guessNature() == Nature.nrf || TranslatedPersonDictionary.containsKey(vertex.realWord))
{
sbName.append(vertex.realWord);
++appendTimes;
}
else
{
// 识别结束
if (appendTimes > 1)
{
if (HanLP.Config.DEBUG)
{
System.out.println("音译人名识别出：" + sbName.toString());
}
wordNetOptimum.insert(activeLine, new Vertex(Predefine.TAG_PEOPLE, sbName.toString(), new CoreDictionary.Attribute(Nature.nrf), WORD_ID), wordNetAll);
}
sbName.setLength(0);
appendTimes = 0;
}
}
else
{
// nrf和nsf触发识别
if (vertex.guessNature() == Nature.nrf || vertex.getNature() == Nature.nsf
// || TranslatedPersonDictionary.containsKey(vertex.realWord)
)
{
sbName.append(vertex.realWord);
++appendTimes;
activeLine = line;
}
}
line += vertex.realWord.length();
}
}
