【发布时间】：2013-06-06 19:39:24
【问题描述】：
我想计算文本中 pp/np/vp 的数量，但我不知道如何在 openNLP chunker 中识别 PP-tags/NP-tags/VP-tags？我已经尝试过这段代码，但它不起作用。
ChunkerModel cModel = new ChunkerModel(modelIn);
ChunkerME chunkerME = new ChunkerME(cModel);
String result[] = chunkerME.chunk(whitespaceTokenizerLine, tags);
HashMap<Integer,String> phraseLablesMap = new HashMap<Integer, String>();
Integer wordCount = 1;
Integer phLableCount = 0;
for (String phLable : result) {
if(phLable.equals("O")) phLable += "-Punctuation"; //The phLable of the last word is OP
if(phLable.split("-")[0].equals("B")) phLableCount++;
phLable = phLable.split("-")[1] + phLableCount;
System.out.println(wordCount + ":" + phLable);
phraseLablesMap.put(wordCount, phLable);
wordCount++;
}
Integer noPP=0;
Integer TotalPP=0;
for (String PPattach: result) {
if (PPattach.equals("PP")) {
for (int i=0;i<result.length;i++)
TotalPP = noPP +1;
}
}
System.out.println(TotalPP);
输出：
1:NP1
2:VP2
3:NP3
4:NP3
5:VP4
6:PP5
7:NP6
8:NP6
9:NP6
10:NP6
11:PP7
12:NP8
13:NP8
14:NP8
15:PP9
16:NP10
17:NP10
18:PP11
19:NP12
20:NP12
21:VP13
22:VP13
23:NP14
24:NP14
25:PP15
26:NP16
27:NP16
28:Punctuation16
0
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