old_contents: # coding: utf8
  
  from __future__ import unicode_literals
  from nltk.tag import stanford
  
  
  class POSTagger(stanford.POSTagger):
  	def __init__(self, *args, **kwargs):
  		kwargs['encoding'] = 'utf8'
  		if 'path_to_model' not in kwargs:
  			kwargs['path_to_model'] = 'resources/persian.tagger'
  		if 'path_to_jar' not in kwargs:
  			kwargs['path_to_jar'] = 'resources/stanford-postagger.jar'
  
  		self._SEPARATOR = '/'
  		super(stanford.POSTagger, self).__init__(*args, **kwargs)
  
  	def tag_sents(self, sentences):
  		"""
  		>>> tagger.tag(['من', 'به', 'مدرسه', 'رفته بودم', '.'])
  		[('من', 'PR'), ('به', 'PREP'), ('مدرسه', 'N'), ('رفته بودم', 'V'), ('.', 'PUNC')]
  		"""
  
  		replace_spaces = lambda sentence: [word.replace(' ', '_') for word in sentence]
  		return super(stanford.POSTagger, self).tag_sents(map(replace_spaces, sentences))
  
new_contents: # coding: utf8
  
  from __future__ import unicode_literals
  from nltk.tag import stanford
  
  
  class POSTagger(stanford.POSTagger):
  	def __init__(self, *args, **kwargs):
  		kwargs['encoding'] = 'utf8'
  		if 'path_to_model' not in kwargs:
  			kwargs['path_to_model'] = 'resources/persian.tagger'
  		if 'path_to_jar' not in kwargs:
  			kwargs['path_to_jar'] = 'resources/stanford-postagger.jar'
  
  		self._SEPARATOR = '/'
  		super(stanford.POSTagger, self).__init__(*args, **kwargs)
  
  	def tag_sents(self, sentences):
  		"""
  		>>> tagger.tag(['من', 'به', 'مدرسه', 'رفته بودم', '.'])
  		[('من', 'PR'), ('به', 'PREP'), ('مدرسه', 'N'), ('رفته بودم', 'V'), ('.', 'PUNC')]
  		"""
  
  		refined = map(lambda s: [w.replace(' ', '_') for w in s], sentences)
  		tagged = super(stanford.POSTagger, self).tag_sents(refined)
  		return list(map(lambda s: [(w.replace('_', ' '), t) for w, t in s], tagged))
  
subject: fix tagger issue