Examples of edu.stanford.nlp.trees.Tree.percolateHeads()

edu.stanford.nlp.trees.Tree.percolateHeads()
Finds the heads of the tree. This code assumes that the label does store and return sensible values for the category, word, and tag. It will be a no-op otherwise. The tree is modified. The routine assumes the Tree has word leaves and tag preterminals, and copies their category to word and tag respectively, if they have a null value. @param hf The headfinding algorithm to use

  private double depScoreTree(Tree tr) {
    // System.err.println("Here's our tree:");
    // tr.pennPrint();
    // System.err.println(Trees.toDebugStructureString(tr));
    Tree cwtTree = tr.deepCopy(new LabeledScoredTreeFactory(), new CategoryWordTagFactory());
    cwtTree.percolateHeads(binHeadFinder);
    // System.err.println("Here's what it went to:");
    // cwtTree.pennPrint();
    List<IntDependency> deps = MLEDependencyGrammar.treeToDependencyList(cwtTree, wordIndex, tagIndex);
    // System.err.println("Here's the deps:\n" + deps);
    return dg.scoreAll(deps);

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        if (treeDep != null) {
          Tree goldTreeB = binarizerOnly.transformTree(goldTree);


          Tree goldTreeEval = goldTree.deepCopy();
          goldTreeEval.indexLeaves(true);
          goldTreeEval.percolateHeads(op.langpack().headFinder());


          Tree depDAEval = pq.getBestDependencyParse(true);
          depDAEval.indexLeaves(true);
          depDAEval.percolateHeadIndices();
          if (depDA != null) {

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