CoreNLP parsed files and words labeled

+ #!/bin/python2.7
+out_labels = {
+ '</Air>': 'O',
+ '</Gtype>': 'O',
+ '</Gversion>': 'O',
+ '</Med>': 'O',
+ '</Orgn>': 'O',
+ '</Phase>': 'O',
+ '</Sample>': 'O',
+ '</Serie>': 'O',
+ '</Strain>': 'O',
+ '</Substrain>': 'O',
+ '</Supp>': 'O',
+ '</Technique>': 'O',
+ '</Temp>': 'O',
+ '</Name>': 'O',
+ '</OD>': 'O',
+ '</Anti>': 'O',
+ '</Agit>': 'O',
+ '</Vess>': 'O'}
+in_labels = {
+ '<Air>': 'Air',
+ '<Gtype>': 'Gtype',
+ '<Gversion>': 'Gversion',
+ '<Med>': 'Med',
+ '<Orgn>': 'Orgn',
+ '<Phase>': 'Phase',
+ '<Sample>': 'Sample',
+ '<Serie>': 'Serie',
+ '<Strain>': 'Strain',
+ '<Substrain>': 'Substrain',
+ '<Supp>': 'Supp',
+ '<Technique>': 'Technique',
+ '<Temp>': 'Temp',
+ '<Name>': 'Name',
+ '<OD>': 'OD',
+ '<Anti>': 'Anti',
+ '<Agit>': 'Agit',
+ '<Vess>': 'Vess'}
+
+import re
+#columna Contenido de "/home/egaytan/Dropbox/PGC/data-sets/file_output/exit_file.txt"
+inpath = '/home/egaytan/Dropbox/PGC/data-sets_1/content_colum_data_set.tsv.conll'
+outpath = '/home/egaytan/Dropbox/PGC/data-sets_1/sentences_labeled_v1.tsv'
+flag = 'O'
+with open(outpath, 'w') as out:
+	with open(inpath, 'r') as input_file:
+		for line in input_file:
+			if len(line.split('\t')) > 1:
+				w = line.split('\t')[1]
+				if w in in_labels or w in out_labels:
+					if w in in_labels.keys(): flag = in_labels[w]
+					if w in out_labels: flag = out_labels[w]
+
+				else:
+					if w == "PGCGROWTHCONDITIONS":	out.write('\n')
+					else: 
+						out.write('|'.join(line.split('\t')[1:4])+'|'+flag+' ')
+						#print('\t'.join(line.split('\t')[1:4])+'\t'+flag)
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