Package com.clearnlp.nlp

Source Code of com.clearnlp.nlp.NLPProcess

/**
* 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.nlp;

import java.io.BufferedReader;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;

import com.clearnlp.dependency.DEPArc;
import com.clearnlp.dependency.DEPFeat;
import com.clearnlp.dependency.DEPLib;
import com.clearnlp.dependency.DEPNode;
import com.clearnlp.dependency.DEPTree;
import com.clearnlp.morphology.MPLib;
import com.clearnlp.pattern.PTNumber;
import com.clearnlp.pos.POSNode;
import com.clearnlp.propbank.verbnet.PVMap;
import com.clearnlp.propbank.verbnet.PVRole;
import com.clearnlp.propbank.verbnet.PVRoleset;
import com.clearnlp.segmentation.AbstractSegmenter;
import com.clearnlp.tokenization.AbstractTokenizer;
import com.clearnlp.util.UTCollection;

/**
* @since 1.1.0
* @author Jinho D. Choi ({@code jdchoi77@gmail.com})
*/
public class NLPProcess
{
  // ============================= input: reader =============================
 
  static public List<List<String>> getSentences(AbstractSegmenter segmenter, BufferedReader fin)
  {
    return segmenter.getSentences(fin);
  }
 
  // ============================= input: sentence =============================
 
  static public List<String> getTokens(AbstractTokenizer tokenizer, String sentence)
  {
    return tokenizer.getTokens(sentence);
  }
 
  // ============================= process: DEPTree =============================
 
  static public void simplifyForms(DEPTree tree)
  {
    int i, size = tree.size();
    DEPNode node;
   
    for (i=0; i<size; i++)
    {
      node = tree.get(i);
      node.simplifiedForm = MPLib.simplifyBasic(node.form);
      node.lowerSimplifiedForm = node.simplifiedForm.toLowerCase();
    }
  }
 
  // ============================= predict: SRL =============================
 
  static public void addVerbNet(PVMap map, DEPTree tree)
  {
    int i, size = tree.size();
    PVRoleset[] pvRolesets = new PVRoleset[size];
    PVRoleset pvRoleset;
    List<String> vnclss;
    String rolesetId;
    PVRole pvRole;
    DEPNode node;
    String n;
   
    for (i=1; i<size; i++)
    {
      node = tree.get(i);
      rolesetId = node.getFeat(DEPLib.FEAT_PB);
     
      if (rolesetId != null)
      {
        if ((pvRoleset = map.getRoleset(rolesetId)) != null)
        {
          vnclss = new ArrayList<String>(pvRoleset.keySet());
          Collections.sort(vnclss);
          node.addFeat(DEPLib.FEAT_VN, UTCollection.toString(vnclss, DEPFeat.DELIM_VALUES));
        }
       
        pvRolesets[i] = pvRoleset;
      }
    }
   
    for (i=1; i<size; i++)
      for (DEPArc arc : tree.get(i).getSHeads())
        if ((pvRoleset = pvRolesets[arc.getNode().id]) != null)
          if (PTNumber.containsOnlyDigits(n = arc.getLabel().substring(1, 2)))
          {
            vnclss = new ArrayList<String>(pvRoleset.keySet());
            Collections.sort(vnclss);
           
            for (String vncls : vnclss)
              if ((pvRole = pvRoleset.get(vncls).getRole(n)) != null)
                arc.appendLabel(pvRole.vntheta);
          }
  }
 
  // ============================= conversion =============================
 
  static public POSNode[] toPOSNodes(List<String> tokens)
  {
    int i, size = tokens.size();
    POSNode[] nodes = new POSNode[size];
   
    for (i=0; i<size; i++)
      nodes[i] = new POSNode(tokens.get(i));
   
    return nodes;
  }
 
  static public DEPTree toDEPTree(POSNode[] nodes)
  {
    DEPTree tree = new DEPTree();
    int i, size = nodes.length;
   
    for (i=0; i<size; i++)
      tree.add(new DEPNode(i+1, nodes[i]));
   
    return tree;
  }
}
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