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annotate src/de/mpiwg/dwinter/duomo/stanford/Analyse.java @ 8:919e9f3b5efd

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neue klassen zur textanalyse (stanford parser eingebaut) alle has_readable_labe Datatype properties durch rdfs:label ersetzt.
author dwinter
date Thu, 21 Jun 2012 17:08:22 +0200
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1 package de.mpiwg.dwinter.duomo.stanford;
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2
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3 import java.io.BufferedReader;
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4 import java.io.DataInputStream;
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5 import java.io.FileInputStream;
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6 import java.io.FileWriter;
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7 import java.io.IOException;
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8 import java.io.InputStreamReader;
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9 import java.io.Reader;
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10 import java.util.Collection;
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11 import java.util.HashMap;
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12 import java.util.HashSet;
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13 import java.util.List;
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14 import java.util.Map;
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15 import java.util.Set;
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16
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17 import edu.stanford.nlp.io.EncodingPrintWriter.out;
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18 import edu.stanford.nlp.ling.CyclicCoreLabel;
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19 import edu.stanford.nlp.ling.DocumentReader;
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20 import edu.stanford.nlp.ling.HasWord;
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21 import edu.stanford.nlp.ling.Word;
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22 import edu.stanford.nlp.parser.lexparser.LexicalizedParser;
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23 import edu.stanford.nlp.process.DocumentPreprocessor;
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24 import edu.stanford.nlp.trees.GrammaticalRelation;
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25 import edu.stanford.nlp.trees.GrammaticalStructure;
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26 import edu.stanford.nlp.trees.GrammaticalStructureFactory;
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27 import edu.stanford.nlp.trees.PennTreebankLanguagePack;
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28 import edu.stanford.nlp.trees.Tree;
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29 import edu.stanford.nlp.trees.TreebankLanguagePack;
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30 import edu.stanford.nlp.trees.TypedDependency;
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31
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32 public class Analyse {
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33
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34 public void analyse(String filename) throws IOException {
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35
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36 LexicalizedParser lp = LexicalizedParser.loadModel("edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz");
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37 // This option shows loading and sentence-segment and tokenizing
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38 // a file using DocumentPreprocessor
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39 TreebankLanguagePack tlp = new PennTreebankLanguagePack();
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40 GrammaticalStructureFactory gsf = tlp.grammaticalStructureFactory();
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41 // You could also create a tokenier here (as below) and pass it
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42 // to DocumentPreprocessor
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43
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44 int count=0;
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45 Map<String,Integer> tuple = new HashMap<String,Integer>();
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46 Map<String,Integer> tupleLong = new HashMap<String,Integer>();
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47 Map<String,Integer> words = new HashMap<String,Integer>();
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48
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49 FileInputStream fstream = new FileInputStream(filename);
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50 // Get the object of DataInputStream
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51 DataInputStream in = new DataInputStream(fstream);
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52 BufferedReader br = new BufferedReader(new InputStreamReader(in));
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53 String strLine;
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54 //Read File Line By Line
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55 while ((strLine = br.readLine()) != null) {
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56
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57 // correct line needs to be completed to a sentence
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58 strLine=strLine.replace("\"", "");
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59 strLine="This is a "+strLine;
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60
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61
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62 Reader dr = DocumentReader.getReader(strLine);
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63
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64
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65
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66 for (List<HasWord> sentence : new DocumentPreprocessor(dr)) {
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67 Tree parse = lp.apply(sentence);
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68 //parse.pennPrint();
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69 //System.out.println();
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70
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71 for (HasWord word: sentence)
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72 {
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73 Word wd = (Word)word;
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74
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75 String st= wd.value().toLowerCase();
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76
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77 if (words.containsKey(st)){
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78 words.put(st, words.get(st)+1);
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79 } else {
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80 words.put(st, 1);
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81 }
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82
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83 }
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84
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85
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86 GrammaticalStructure gs = gsf.newGrammaticalStructure(parse);
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87 Collection tdl = gs.typedDependenciesCCprocessed(true);
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88
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89 for (Object t: tdl){
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90 if (TypedDependency.class.isInstance(t)){
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91
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92
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93 TypedDependency td = (TypedDependency)t;
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94
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95 GrammaticalRelation reln = td.reln();
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96 if (reln.getShortName().equals("prep") || reln.getShortName().equals("conj") ){
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97
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98 String st = reln.getShortName()
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99 +"\t";
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100
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101 st +=td.gov().label().value()+"\t";
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102
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103 st+=td.dep().label().value();
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104
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105 st=st.toLowerCase();
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106 if (tuple.containsKey(st)){
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107 tuple.put(st, tuple.get(st)+1);
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108 } else {
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109 tuple.put(st, 1);
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110 }
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111
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112 st = reln.getShortName()+"\t"+reln.getSpecific()+"\t";
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113
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114 st +=td.gov().label().value()+"\t";
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115
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116 st+=td.dep().label().value();
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117
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118 st=st.toLowerCase();
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119
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120 if (tupleLong.containsKey(st)){
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121 tupleLong.put(st, tupleLong.get(st)+1);
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122 } else {
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123 tupleLong.put(st, 1);
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124 }
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125
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126 }
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127
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128 }
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129
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130 }
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131
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132 //System.out.println(tdl);
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133 //System.out.println();
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134 count++;
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135 System.out.println(count);
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136
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137
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138 }
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139 //if (count > 5)
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140 // break;
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141 }
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142 System.out.println(tuple);
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143 System.out.println(tupleLong);
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144
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145 FileWriter fw = new FileWriter("/tmp/tuple");
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146
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147 for (String key : tuple.keySet()){
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148 fw.write(key+"\t"+String.valueOf(tuple.get(key))+"\n");
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149 }
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150 fw.close();
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151
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152
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153 fw = new FileWriter("/tmp/tupleLong");
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154
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155 for (String key : tupleLong.keySet()){
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156 fw.write(key+"\t"+String.valueOf(tupleLong.get(key))+"\n");
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157 }
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158 fw.close();
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159
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160 fw = new FileWriter("/tmp/words");
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161
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162 for (String key : words.keySet()){
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163 fw.write(key+"\t"+String.valueOf(words.get(key))+"\n");
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164 }
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165 fw.close();
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166
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167 }
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168 /**
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169 * @param args
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170 */
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171 public static void main(String[] args) {
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172 Analyse a = new Analyse();
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173 try {
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174 a.analyse("/tmp/reges.csv");
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175 } catch (IOException e) {
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176 // TODO Auto-generated catch block
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177 e.printStackTrace();
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178 }
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179
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180 }
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181
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182 }