network provide the column name it needs

Train.py

@@ -210,7 +210,7 @@ def trainModelRl(debug, networkName, modelDir, filename, nbIter, batchSize, devF
   if os.path.isfile(modelDir+"/dicts.json") :
     dicts.load(modelDir+"/dicts.json")
   else :
-    dicts.readConllu(filename, ["FORM","UPOS","LETTER","LEXICON"], 2, pretrained)
+    dicts.readConllu(filename, Networks.getNeededDicts(networkName), 2, pretrained)
     dicts.addDict("HISTORY", transitionNames)
     dicts.save(modelDir + "/dicts.json")