docs: def text_to_strings_collection(text, words=3):
      """
      Splits the text to a collection of strings;
      a GAST for such a split collection usually produces
      better results in keyword matching that a GAST
      for the whole text. The word parameters determines
      how many words each string in the collection shall
      consist of (3 by default)
      
      return: Unicode
      """
      
      text = prepare_text(text)
      strings_collection = tokenize(text)
      strings_collection = filter(lambda s: len(s) > 2 and not s.isdigit(), strings_collection)
          
      i = 0
      strings_collection_grouped = []
      while i < len(strings_collection):
          group = ''
          for j in xrange(words):
              if i + j < len(strings_collection):
                  group += strings_collection[i+j]
          strings_collection_grouped.append(group)
          i += words
  
      # Having an empty strings collection would lead to a runtime errors in the applications.
      if not strings_collection_grouped:
          strings_collection_grouped = [" "]
          
      return strings_collection_grouped