docstr: Parse documents from the .cor file provided in the constructor. Lowercase
  each document and ignore some stopwords.
  
  .cor format: one document per line, words separated by whitespace.
docstr_tok: ["Parse","documents","from","the",".cor","file","provided","in","the","constructor",".","Lowercase","each","document","and","ignore","some","stopwords",".",".cor","format",":","one","document","per","line",",","words","separated","by","whitespace","."]
code: def get_texts(self):
      """
      Parse documents from the .cor file provided in the constructor. Lowercase
      each document and ignore some stopwords.
  
      .cor format: one document per line, words separated by whitespace.
  
      """
      for doc in self.getstream():
          yield [
              word
              for word in utils.to_unicode(doc).lower().split()
              if word not in CorpusMiislita.stoplist
          ]
  
file_path: gensim/gensim/test/test_miislita.py
imports: from __future__ import division
  from __future__ import with_statement
  import logging
  import os
  import unittest
  from gensim import utils, corpora, models, similarities
  from gensim.test.utils import datapath, get_tmpfile
label_desc: Use image node_id 1 for calling the CorpusMiislita obj's underlying member method code with example usage: obj.get_texts() without return types