dependensee's Introduction

DependenSee: A Dependency Parse Visualisation Tool

Here's the source for DependenSee, a dependency relation visualisation tool for the Stanford parser. From the sentence, "Example isn't another way to teach, it is the only way to teach.", it produces the image below.

More details can be found on my original blog post

Here's some sample code.

import edu.stanford.nlp.ling.CoreLabel;
import edu.stanford.nlp.parser.lexparser.LexicalizedParser;
import edu.stanford.nlp.process.CoreLabelTokenFactory;
import edu.stanford.nlp.process.PTBTokenizer;
import edu.stanford.nlp.process.TokenizerFactory;
import edu.stanford.nlp.trees.GrammaticalStructure;
import edu.stanford.nlp.trees.GrammaticalStructureFactory;
import edu.stanford.nlp.trees.PennTreebankLanguagePack;
import edu.stanford.nlp.trees.Tree;
import edu.stanford.nlp.trees.TreebankLanguagePack;
import edu.stanford.nlp.trees.TypedDependency;
import java.io.File;
import java.io.StringReader;
import java.util.Collection;
import java.util.List;

class Test {
   public static void main(String []args) throws Exception {
       String text = "A quick brown fox jumped over the lazy dog.";
        TreebankLanguagePack tlp = new PennTreebankLanguagePack();
        GrammaticalStructureFactory gsf = tlp.grammaticalStructureFactory();
        LexicalizedParser lp = LexicalizedParser.loadModel("edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz");
        lp.setOptionFlags(new String[]{"-maxLength", "500", "-retainTmpSubcategories"});
        TokenizerFactory<CoreLabel> tokenizerFactory =
                PTBTokenizer.factory(new CoreLabelTokenFactory(), "");
        List<CoreLabel> wordList = tokenizerFactory.getTokenizer(new StringReader(text)).tokenize();
        Tree tree = lp.apply(wordList);    
        GrammaticalStructure gs = gsf.newGrammaticalStructure(tree);
        Collection<TypedDependency> tdl = gs.typedDependenciesCCprocessed(true);
        Main.writeImage(tree,tdl, "image.png",3);
  }
}

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