code: def _get_translate():
      
      translate = {}
      model_path = pkg_resources.resource_filename('hwrt', 'misc/')
      translation_csv = os.path.join(model_path, 'latex2writemathindex.csv')
      arguments = {'newline': '', 'encoding': 'utf8'}
      with open(translation_csv, 'rt', **arguments) as csvfile:
          contents = csvfile.read()
      lines = contents.split("\n")
      for csvrow in lines:
          csvrow = csvrow.split(',')
          if len(csvrow) == 1:
              writemathid = csvrow[0]
              latex = ""
          else:
              writemathid, latex = csvrow[0], csvrow[1:]
              latex = ','.join(latex)
          translate[latex] = writemathid
      return translate
docs: Get a dictionary which translates from a neural network output to
      semantics.