public LabeledScoredTreeReaderFactory(TreeNormalizer tm) {
   lf = CoreLabel.factory();
   this.tm = tm;
 }
Пример #2
0
 /**
  * Recursively creates an edu.stanford.nlp.trees.Tree from a ROOT annotation It also saves the
  * whitespaces before and after a token as <code>CoreAnnotation.BeforeAnnotation</code> and <code>
  * CoreAnnotation.AfterAnnotation</code> in the respective label of the current node.
  *
  * @param root the ROOT annotation
  * @return an {@link Tree} object representing the syntax structure of the sentence
  */
 public static Tree createStanfordTree(Annotation root) {
   return createStanfordTree(root, new LabeledScoredTreeFactory(CoreLabel.factory()));
 }
 /** Create a new TreeReaderFactory with CategoryWordTag labels. */
 public LabeledScoredTreeReaderFactory() {
   lf = CoreLabel.factory();
   tm = new BobChrisTreeNormalizer();
 }
Пример #4
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 /**
  * Return a <code>TreeFactory</code> that produces trees of the same type as the current <code>
  * Tree</code>. That is, this implementation, will produce trees of type <code>
  * LabeledScoredTree(Node|Leaf)</code>. The <code>Label</code> of <code>this</code> is examined,
  * and providing it is not <code>null</code>, a <code>LabelFactory</code> which will produce that
  * kind of <code>Label</code> is supplied to the <code>TreeFactory</code>. If the <code>Label
  * </code> is <code>null</code>, a <code>StringLabelFactory</code> will be used. The factories
  * returned on different calls a different: a new one is allocated each time.
  *
  * @return a factory to produce labeled, scored trees
  */
 @Override
 public TreeFactory treeFactory() {
   LabelFactory lf = (label() == null) ? CoreLabel.factory() : label().labelFactory();
   return new LabeledScoredTreeFactory(lf);
 }