List of transformTree() Examples

Examples of transformTree()

edu.stanford.nlp.international.french.pipeline.FTBCorrector.transformTree()
edu.stanford.nlp.parser.lexparser.TreeBinarizer.transformTree()
Binarizes the tree according to options set up in the constructor. Does the whole tree by calling itself recursively. @param t A tree to be binarized. The non-leaf nodes must already haveCategoryWordTag labels, with heads percolated. @return A binary tree.
edu.stanford.nlp.parser.lexparser.TreebankLangParserParams.transformTree()
This method does language-specific tree transformations such as annotating particular nodes with language-relevant features. Such parameterizations should be inside the specific TreebankLangParserParams class. This method is recursively applied to each node in the tree (depth first, left-to-right), so you shouldn't write this method to apply recursively to tree members. This method is allowed to (and in some cases does) destructively change the input tree t. It changes both labels and the tree shape. @param t The input tree (with non-language specific annotation alreadydone, so you need to strip back to basic categories) @param root The root of the current tree (can be null for words) @return The fully annotated tree node (with daughters still as youwant them in the final result)
edu.stanford.nlp.trees.TreeTransformer.transformTree()
Does whatever one needs to do to a particular tree. This routine is passed a whole Tree, and could itself work recursively, but the canonical usage is to invoke this method via the Tree.transform() method, which will apply the transformer in a bottom-up manner to each local Tree, and hence the implementation of TreeTransformer should merely examine and change a local (one-level) Tree. @param t A tree. Classes implementing this interface can assumethat the tree passed in is not null. @return the transformed Tree
org.mozilla.javascript.IRFactory.transformTree()
Transforms the tree into a lower-level IR suitable for codegen. Optionally generates the encoded source.

Examples of edu.stanford.nlp.international.french.pipeline.FTBCorrector.transformTree()

        continue;
      }
      
      // Punctuation normalization, etc.
      Tree backupCopy = tree.deepCopy();
      tree = tt.transformTree(tree);
      if (tree.firstChild().children().length == 0) {
        // Some trees have only punctuation. Tregex will mangle these. Don't throw those away.
        System.err.println("Saving tree: " + tree.toString());
        System.err.println("Backup: " + backupCopy.toString());
        tree = backupCopy;

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Examples of edu.stanford.nlp.parser.lexparser.TreeBinarizer.transformTree()


    ParserAnnotatorUtils.fillInParseAnnotations(VERBOSE, BUILD_GRAPHS, gsf, sentence, tree);


    if (saveBinaryTrees) {
      TreeBinarizer binarizer = TreeBinarizer.simpleTreeBinarizer(parser.getTLPParams().headFinder(), parser.treebankLanguagePack());
      Tree binarized = binarizer.transformTree(tree);
      Trees.convertToCoreLabels(binarized);
      sentence.set(TreeCoreAnnotations.BinarizedTreeAnnotation.class, binarized);
    }
  }

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Examples of edu.stanford.nlp.parser.lexparser.TreeBinarizer.transformTree()

      }


      // TODO: add an option which treats the spans as constraints when parsing


      Tree tree = parser.apply(tokens);
      Tree binarized = binarizer.transformTree(tree);
      Tree collapsedUnary = transformer.transformTree(binarized);


      // if there is a sentiment model for use in prelabeling, we
      // label here and then use the user given labels to adjust
      if (sentimentModel != null) {

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Examples of edu.stanford.nlp.parser.lexparser.TreebankLangParserParams.transformTree()


    int numTrees = 0;
    for (Tree tree : tb) {
      for (Tree subTree : tree) {
        if (!subTree.isLeaf()) {
          tlpp.transformTree(subTree, tree);
        }
      }
      List<Label> pretermList = tree.preTerminalYield();
      List<Label> yield = tree.yield();
      assert yield.size() == pretermList.size();

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Examples of edu.stanford.nlp.trees.TreeTransformer.transformTree()


          basicEval.eval(ourBrackets, goldBrackets);
          System.out.println("\nScores:");
          basicEval.displayLast();


          Tree collinsTree = collinizer.transformTree(tree);
          Tree collinsGold = collinizer.transformTree(gold);
          ourBrackets = proc.allBrackets(collinsTree);
          goldBrackets = proc.allBrackets(collinsGold);
          if (goodPOS) {
            ourBrackets.addAll(proc.commonWordTagTypeBrackets(collinsTree, collinsGold));

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Examples of edu.stanford.nlp.trees.TreeTransformer.transformTree()

          basicEval.eval(ourBrackets, goldBrackets);
          System.out.println("\nScores:");
          basicEval.displayLast();


          Tree collinsTree = collinizer.transformTree(tree);
          Tree collinsGold = collinizer.transformTree(gold);
          ourBrackets = proc.allBrackets(collinsTree);
          goldBrackets = proc.allBrackets(collinsGold);
          if (goodPOS) {
            ourBrackets.addAll(proc.commonWordTagTypeBrackets(collinsTree, collinsGold));
            goldBrackets.addAll(proc.commonWordTagTypeBrackets(collinsGold, collinsTree));

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Examples of edu.stanford.nlp.trees.TreeTransformer.transformTree()

    final Iterator<Tree> goldItr = goldTreebank.iterator();
    int goldLineId = 0;
    int skippedGuessTrees = 0;


    for(final Tree guess : guessTreebank) {
      final Tree evalGuess = tc.transformTree(guess);
      if(guess.yield().size() > MAX_GUESS_YIELD) {
        skippedGuessTrees++;
        continue;
      }

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Examples of edu.stanford.nlp.trees.TreeTransformer.transformTree()

      }


      boolean doneEval = false;
      while(goldItr.hasNext() && !doneEval) {
        final Tree gold = goldItr.next();
        final Tree evalGold = tc.transformTree(gold);
        goldLineId++;


        if(gold.yield().size() > MAX_GOLD_YIELD) {
          continue;

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Examples of edu.stanford.nlp.trees.TreeTransformer.transformTree()

    final Iterator<Tree> goldItr = goldTreebank.iterator();
    int goldLineId = 0;
    int skippedGuessTrees = 0;


    for(final Tree guess : guessTreebank) {
      final Tree evalGuess = tc.transformTree(guess);
      final ArrayList<Label> guessSent = guess.yield();
      final String guessChars = Sentence.listToString(guessSent).replaceAll("\\s+","");
      if(guessSent.size() > maxGuessYield) {
        skippedGuessTrees++;
        continue;

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Examples of edu.stanford.nlp.trees.TreeTransformer.transformTree()

      }


      boolean doneEval = false;
      while(goldItr.hasNext() && !doneEval) {
        final Tree gold = goldItr.next();
        final Tree evalGold = tc.transformTree(gold);
        goldLineId++;


        final ArrayList<Label> goldSent = gold.yield();
        final String goldChars = Sentence.listToString(goldSent).replaceAll("\\s+","");

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