Using stanford parser to parse Chinese

问题

here is my code, mostly from the demo. The program runs perfectly, but the result is very wrong. It did not spilt the words. Thank you

public static void main(String[] args) {
 LexicalizedParser lp = LexicalizedParser.loadModel("edu/stanford/nlp/models/lexparser/xinhuaFactored.ser.gz");

  demoAPI(lp);

}


public static void demoAPI(LexicalizedParser lp) {


// This option shows loading and using an explicit tokenizer
String sent2 = "我爱你";
TokenizerFactory<CoreLabel> tokenizerFactory =
    PTBTokenizer.factory(new CoreLabelTokenFactory(), "");
Tokenizer<CoreLabel> tok =
    tokenizerFactory.getTokenizer(new StringReader(sent2));
List<CoreLabel> rawWords2 = tok.tokenize();

Tree parse = lp.apply(rawWords2);

TreebankLanguagePack tlp = new PennTreebankLanguagePack();
GrammaticalStructureFactory gsf = tlp.grammaticalStructureFactory();
GrammaticalStructure gs = gsf.newGrammaticalStructure(parse);
List<TypedDependency> tdl = gs.typedDependenciesCCprocessed();
System.out.println(tdl);
System.out.println();

// You can also use a TreePrint object to print trees and dependencies
TreePrint tp = new TreePrint("penn,typedDependenciesCollapsed");
tp.printTree(parse);
}

回答1:

Did you make sure to segment the words? For example try running it again with "我 爱 你." as the sentence. I believe from the command line the parser will segment automatically, however I'm not sure what it does from within Java.

来源：https://stackoverflow.com/questions/22703614/using-stanford-parser-to-parse-chinese