text: import dependency_parsing
  
   
  #script to execute the dependency parsers of the paper
  if __name__ == "__main__":
         
         configFile="config/config.properties"   
         graphFeaturesFile="config/graph_features.properties"   
        
         c_array=[1e0]#,1e1,1e2,1e3,1e4]
         randomSeed=42
         models=["transition","mtt","threshold","edmond"]
         for model in models:
             
             pip=dependency_parsing.dependency_parsing(configFile,graphFeaturesFile,model)
               
             for c in c_array:
                                
                      pip.computeScores(c,randomSeed)     
                      
                    
         