public LabeledScoredTreeReaderFactory(TreeNormalizer tm) {
lf = CoreLabel.factory();
this.tm = tm;
}
/**
* 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();
}
/**
* 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);
}
