How to use the tokenizers.PunctTokenizer.PunctTokenizer function in tokenizers

	def __init__(self, tag_dict=BROWN_TAGS, tokenizer=PunctTokenizer()):
		"""
		Creates a Tagger object.
		"""
		self.__tags_dict = tag_dict
		self.__p_tokenizer = tokenizer

### @PROJECT_NAME:		SPLAT: Speech Processing and Linguistic Analysis Tool										 ###
### @VERSION_NUMBER:																								 ###
### @PROJECT_SITE:		github.com/meyersbs/SPLAT																     ###
### @AUTHOR_NAME:		Benjamin S. Meyers																			 ###
### @CONTACT_EMAIL:		ben@splat-library.org																		 ###
### @LICENSE_TYPE:		MIT																							 ###
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class POSTagger:
	"""
	A POSTagger tokenizes the given input with punctuation as separate tokens, and then does a dictionary lookup to
	determine the part-of-speech for each token.
	"""
	__tags_dict = {}
	__p_tokenizer = PunctTokenizer()

	def __init__(self, tag_dict=BROWN_TAGS, tokenizer=PunctTokenizer()):
		"""
		Creates a Tagger object.
		"""
		self.__tags_dict = tag_dict
		self.__p_tokenizer = tokenizer

	def __tag_list(self, text_list):
		tagged = []
		for word in self.__p_tokenizer.tokenize(text_list):
			if word.lower() in self.__tags_dict.keys():
				tag = self.__tags_dict[word.lower()]
			elif word in [".", ",", ":", ";", "?", "!"]:
				tag = u"PNCT"
			else: