Java Tree.isPreTerminal方法代碼示例

import edu.stanford.nlp.trees.Tree; //導入方法依賴的package包/類
/**
   * @return A list of verb subtrees e.g. (VBG running)
   */
  public static Vector<Tree> verbTreesFromTree(Tree tree) {
//    System.out.println("verbTree: " + tree);
    Vector<Tree> verbs = new Vector<Tree>();
//    System.out.println("  tree label: " + tree.label().value().toString());
    
    // if tree is a leaf
    if( tree.isPreTerminal() && tree.label().value().startsWith("VB") ) {
//      System.out.println("  if!!");
      // add the verb subtree
      verbs.add(tree);
    }
    // else scale the tree    
    else {
//      System.out.println("  else!!");
      List<Tree> children = tree.getChildrenAsList();
      for( Tree child : children ) {
        Vector<Tree> temp = verbTreesFromTree(child);
        verbs.addAll(temp);
      }
    }

    return verbs;
  }
 

import edu.stanford.nlp.trees.Tree; //導入方法依賴的package包/類
/**
 * @return A list of verbs in the tree
 */
public static Vector<String> verbsFromTree(Tree tree, Tree parent) {
  Vector<String> verbs = new Vector<String>();
  // if tree is a leaf
  if( tree.isPreTerminal() && tree.label().toString().startsWith("VB") ) {
    String verb = tree.firstChild().value();
    // get arguments
    //      System.out.println("parent of " + verb + " is " + parent);
    //      verb += argsOfPhrase(tree, parent);
    //      System.out.println("now: " + verb);
    // add the verb
    verbs.add(verb);
  }
  // else scale the tree    
  else {
    List<Tree> children = tree.getChildrenAsList();
    for( Tree child : children ) {
      Vector<String> temp = verbsFromTree(child, tree);
      verbs.addAll(temp);
    }
  }

  return verbs;
}
 

import edu.stanford.nlp.trees.Tree; //導入方法依賴的package包/類
/**
 * @return The CHARACTER OFFSET where the stop tree begins
 */
public static int inorderTraverse(Tree full, Tree stop) {
  if( full == null || full == stop ) return 0;

  int sum = 0;
  if( full.isPreTerminal() ) {
    String value = full.firstChild().value();
    //      System.out.println(value + " is " + value.length());
    return value.length() + 1; // +1 for space character
    //      return full.firstChild().value().length() + 1;
  }
  else {
    for( Tree child : full.getChildrenAsList() ) {
      if( child == stop ) {
        //	  System.out.println("Stopping at " + child);
        return sum;
      }
      sum += inorderTraverse(child, stop);
      if( child.contains(stop) ) return sum;
    }
  }
  return sum;
}
 

import edu.stanford.nlp.trees.Tree; //導入方法依賴的package包/類
/**
 * @return The raw text of a parse tree's nodes
 */
public static String toRaw(Tree full) {
  if( full == null ) return "";

  if( full.isPreTerminal() ) return full.firstChild().value();
  else {
    String str = "";
    for( Tree child : full.getChildrenAsList() ) {
      if( str.length() == 0 ) str = toRaw(child);
      else str += " " + toRaw(child);
    }
    return str;
  }
}
 

import edu.stanford.nlp.trees.Tree; //導入方法依賴的package包/類
/**
   * Recurses over a tree and adds an IDF counts leaves
   * Leaves must be Nouns, Verbs or Adjectives to be counted
   */
  public void calculateTreeIDF(Tree tree, Tree fullTree) {
    // if tree is a leaf
    if( tree.isPreTerminal() ) {
      String wordString = tree.firstChild().value().toLowerCase();

      // If we are counting every single token
      if( _ignorepostags ) {
        // Don't count numerals or weird starting punctuation tokens
        if( wordString.matches("[a-zA-Z].*") && !wordString.matches(".*\\d.*") )  {
          // Count the documents the word appears in, for IDF score
          if( !_seen.containsKey(wordString) ) {
            _seen.put(wordString, true);
            // add the count of documents
            _idf.increaseDocCount(wordString);
          }
          _idf.increaseTermFrequency(wordString);
        }
      } 

      // Else we are lemmatizing and only counting Verbs, Nouns, and Adjectives.
      else {
        char normPostag = normalizePOS(tree.label().value().toString());

        // if a verb, look for a particle
        if( normPostag == 'v' ) {
//          System.out.println(wordString + " tree " + tree.parent(fullTree));
          String particle = TreeOperator.findParticleInTree(tree.parent(fullTree));
//          System.out.println(wordString + " particle " + particle);
          if( particle != null ) wordString += "_" + particle.toLowerCase();
        }

        // Verbs, Nouns, Adjectives
        if( normPostag == 'v' || normPostag == 'n' || normPostag == 'j' || normPostag == 'r' ) {
          String key = createKey(wordString, normPostag);

          // Don't count numerals or weird starting punctuation tokens
          if( wordString.matches("[a-zA-Z].*") && !wordString.matches(".*\\d.*") )  {
            // Count the documents the word appears in, for IDF score
            if( !_seen.containsKey(key) ) {
              _seen.put(key, true);
              // add the count of documents
              _idf.increaseDocCount(key);
            }
            _idf.increaseTermFrequency(key);

            // LEMMA counts
            String lemmaString = null;
            if( normPostag == 'v' ) lemmaString = _wordnet.verbToLemma(wordString);
            else if( normPostag == 'n' ) lemmaString = _wordnet.nounToLemma(wordString);
            else if( normPostag == 'j' ) lemmaString = _wordnet.adjectiveToLemma(wordString);
            else if( normPostag == 'r' ) lemmaString = _wordnet.nounToLemma(wordString);
            if( lemmaString == null ) lemmaString = wordString;
            key = createKey(lemmaString, normPostag);
            if( !_seenLemmas.containsKey(key) ) {
              _seenLemmas.put(key, true);
              _idfLemmas.increaseDocCount(key);
            }
            _idfLemmas.increaseTermFrequency(key);
          }
        }
      }
    }

    // else recurse on the tree
    else {
      List<Tree> children = tree.getChildrenAsList();
      for( Tree child : children ) 
        calculateTreeIDF(child, fullTree);
    }
  }
 

import edu.stanford.nlp.trees.Tree; //導入方法依賴的package包/類
/**
   * Recurses over a tree and adds an IDF counts leaves
   * Leaves must be Nouns, Verbs or Adjectives to be counted
   */
  public void calculateTreeIDF(Tree tree, Tree fullTree) {
    // if tree is a leaf
    if( tree.isPreTerminal() ) {
      String wordString = tree.firstChild().value().toLowerCase();

      // If we are counting every single token
      if( _ignorepostags ) {
        // Don't count numerals or weird starting punctuation tokens
        if( wordString.matches("[a-zA-Z].*") && !wordString.matches(".*\\d.*") )  {
          // Count the documents the word appears in, for IDF score
          if( !_seen.containsKey(wordString) ) {
            _seen.put(wordString, true);
            // add the count of documents
            _idf.increaseDocCount(wordString);
          }
          _idf.increaseTermFrequency(wordString);
        }
      } 

      // Else we are lemmatizing and only counting Verbs, Nouns, and Adjectives.
      else {
        char normPostag = normalizePOS(tree.label().value().toString());

        // if a verb, look for a particle
        if( normPostag == 'v' ) {
//          System.out.println(wordString + " tree " + tree.parent(fullTree));
          String particle = BasicEventAnalyzer.findParticleInTree(tree.parent(fullTree));
//          System.out.println(wordString + " particle " + particle);
          if( particle != null ) wordString += "_" + particle.toLowerCase();
        }

        // Verbs, Nouns, Adjectives
        if( normPostag == 'v' || normPostag == 'n' || normPostag == 'j' || normPostag == 'r' ) {
          String key = createKey(wordString, normPostag);

          // Don't count numerals or weird starting punctuation tokens
          if( wordString.matches("[a-zA-Z].*") && !wordString.matches(".*\\d.*") )  {
            // Count the documents the word appears in, for IDF score
            if( !_seen.containsKey(key) ) {
              _seen.put(key, true);
              // add the count of documents
              _idf.increaseDocCount(key);
            }
            _idf.increaseTermFrequency(key);

            // LEMMA counts
            String lemmaString = null;
            if( normPostag == 'v' ) lemmaString = _wordnet.verbToLemma(wordString);
            else if( normPostag == 'n' ) lemmaString = _wordnet.nounToLemma(wordString);
            else if( normPostag == 'j' ) lemmaString = _wordnet.adjectiveToLemma(wordString);
            else if( normPostag == 'r' ) lemmaString = _wordnet.nounToLemma(wordString);
            if( lemmaString == null ) lemmaString = wordString;
            key = createKey(lemmaString, normPostag);
            if( !_seenLemmas.containsKey(key) ) {
              _seenLemmas.put(key, true);
              _idfLemmas.increaseDocCount(key);
            }
            _idfLemmas.increaseTermFrequency(key);
          }
        }
      }
    }

    // else recurse on the tree
    else {
      List<Tree> children = tree.getChildrenAsList();
      for( Tree child : children ) 
        calculateTreeIDF(child, fullTree);
    }
  }