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Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. It provides the foundational building blocks for higher level text understanding applications.
package edu.stanford.nlp.trees;
import edu.stanford.nlp.ling.StringLabelFactory;
import java.io.Reader;
/**
* This class implements a TreeReaderFactory
that produces
* labeled, scored array-based Trees, which have been cleaned up to
* delete empties, etc. This seems to be a common case.
*
* @author Christopher Manning
* @version 2000/12/29
*/
public class StringLabeledScoredTreeReaderFactory implements TreeReaderFactory {
/**
* An implementation of the TreeReaderFactory
interface.
* It creates a simple TreeReader
which literally
* reproduces trees in the treebank as LabeledScoredTree
* objects, with StringLabel
labels.
*/
public TreeReader newTreeReader(Reader in) {
return new PennTreeReader(in, new LabeledScoredTreeFactory(new StringLabelFactory()));
}
}