Package com.clearnlp.run

Source Code of com.clearnlp.run.ECNormalize

/**
* Copyright (c) 2009/09-2012/08, Regents of the University of Colorado
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
*    list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright notice,
*    this list of conditions and the following disclaimer in the documentation
*    and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
* ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
/**
* Copyright 2012/09-2013/04, 2013/11-Present, University of Massachusetts Amherst
* Copyright 2013/05-2013/10, IPSoft Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*     http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.clearnlp.run;

import java.io.File;
import java.io.PrintStream;

import org.kohsuke.args4j.Option;

import com.clearnlp.constituent.CTLib;
import com.clearnlp.constituent.CTReader;
import com.clearnlp.constituent.CTTree;
import com.clearnlp.io.FileExtFilter;
import com.clearnlp.util.UTInput;
import com.clearnlp.util.UTOutput;


/**
* Normalizes indices of empty categories in constituent trees.
* @see CTReader#normalizeIndices(CTTree)
* @since v0.1
* @author Jinho D. Choi ({@code jdchoi77@gmail.com})
*/
public class ECNormalize extends AbstractRun
{
  @Option(name="-i", usage="the input path (input; required)", required=true, metaVar="<filepath>")
  private String s_inputPath;
  @Option(name="-o", usage="the output path (output; required)", required=true, metaVar="<filepath>")
  private String s_outputPath;
  @Option(name="-ie", usage="the input file extension (default: .*)", required=false, metaVar="<regex>")
  private String s_inputExt = ".*";
 
  public ECNormalize() {}
 
  public ECNormalize(String[] args)
  {
    initArgs(args);
   
    if (new File(s_inputPath).isFile())
      normalize(s_inputPath, s_outputPath);
    else
      normalize(s_inputPath, s_outputPath, s_inputExt);
  }
 
  /**
   * Normalizes indices of constituent trees.
   * @param inputPath the directory containing unnormalized tree files.
   * @param outputPath the directory to save normalized tree files.
   * @param inputExt the tree file extension (e.g., {@code parse}).
   */
  public void normalize(String inputPath, String outputPath, String inputExt)
  {
    File dir = new File(outputPath);
    if (!dir.exists())  dir.mkdirs();
   
    inputPath  += File.separator;
    outputPath += File.separator;
   
    String inputFile, outputFile;
   
    for (String filename : new File(inputPath).list(new FileExtFilter(inputExt)))
    {
      inputFile  = inputPath  + filename;
      outputFile = outputPath + filename;
     
      System.out.println(filename);
      normalize(inputFile, outputFile);
    }
  }
 
  public void normalize(String inputFile, String outputFile)
  {
    CTReader reader = new CTReader(UTInput.createBufferedFileReader(inputFile));
    PrintStream fout = UTOutput.createPrintBufferedFileStream(outputFile);
    CTTree tree;
   
    while ((tree = reader.nextTree()) != null)
    {
      CTLib.normalizeIndices(tree);
      fout.println(tree.toString()+"\n");
    }
   
    reader.close();
    fout.close();
  }
 
  static public void main(String[] args)
  {
    new ECNormalize(args);
  //  new CTNormalizeIndices().normalize(inputDir, outputDir, extension);
  }
}
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