diff --git a/README.md b/README.md
index 35335f66..62ae45d7 100644
--- a/README.md
+++ b/README.md
@@ -41,7 +41,7 @@ Python library for digesting Persian text.
 >>> from hazm import POSTagger
 >>> tagger = POSTagger()
 >>> tagger.tag(word_tokenize('ما بسیار کتاب می‌خوانیم'))
-[('ما', 'PR'), ('بسیار', 'ADV'), ('کتاب', 'N'), ('می‌خوانیم', 'V')]
+[('ما', 'PRO'), ('بسیار', 'ADV'), ('کتاب', 'N'), ('می‌خوانیم', 'V')]
 
 >>> from hazm import DependencyParser
 >>> parser = DependencyParser(tagger=POSTagger())
diff --git a/data.py b/data.py
index 19c9ac2d..d86210f4 100644
--- a/data.py
+++ b/data.py
@@ -105,7 +105,7 @@ def train_maltparser(train_file='resources/train.conll', validation_file='resour
 	parsed = parser.tagged_parse_sents(tagged)
 
 	test_data, test_results = test_file +'.data', test_file +'.results'
-	print('\n'.join([sentence.to_conll(10) for sentence in test.trees()]).strip(), file=codecs.open(test_data, 'w', 'utf8'))
+	print('\n'.join([sentence.to_conll(10).replace('/', '') for sentence in test.trees()]).strip(), file=codecs.open(test_data, 'w', 'utf8'))
 	print('\n'.join([sentence.to_conll(10) for sentence in parsed]).strip(), file=codecs.open(test_results, 'w', 'utf8'))
 
 	subprocess.Popen(['java', '-jar', 'resources/MaltEval.jar', '-g', test_data, '-s', test_results]).wait()
diff --git a/hazm/POSTagger.py b/hazm/POSTagger.py
index 2e589113..39acd02d 100644
--- a/hazm/POSTagger.py
+++ b/hazm/POSTagger.py
@@ -18,7 +18,7 @@ def __init__(self, *args, **kwargs):
 	def tag_sents(self, sentences):
 		"""
 		>>> tagger.tag(['من', 'به', 'مدرسه', 'رفته بودم', '.'])
-		[('من', 'PR'), ('به', 'PREP'), ('مدرسه', 'N'), ('رفته بودم', 'V'), ('.', 'PUNC')]
+		[('من', 'PRO'), ('به', 'P'), ('مدرسه', 'N'), ('رفته بودم', 'V'), ('.', 'PUNC')]
 		"""
 
 		refined = map(lambda s: [w.replace(' ', '_') for w in s], sentences)