class_docstr: Task for training cross-lingual language models.
  For more details look at: https://arxiv.org/pdf/1901.07291.pdf
  Args:
      dictionary (MaskedLMDictionary): the dictionary for the input of the task
class_docstr_tok: ["Task","for","training","cross-lingual","language","models",".","For","more","details","look","at",":","https",":","\/\/arxiv.org\/pdf\/1901.07291.pdf","Args",":","dictionary","(","MaskedLMDictionary",")",":","the","dictionary","for","the","input","of","the","task"]
code: def add_args(parser):
      CrossLingualLMTask.add_args(parser)
      """Add task-specific arguments to the parser."""
      parser.add_argument(
          "-s",
          "--source-lang",
          default=None,
          metavar="SRC",
          help="source language",
      )
      parser.add_argument(
          "-t",
          "--target-lang",
          default=None,
          metavar="TARGET",
          help="target language",
      )
      parser.add_argument(
          "--save-only",
          action="store_true",
          help="skip eval and only do save",
      )
  
file_path: translate/pytorch_translate/tasks/cross_lingual_lm.py
imports: import os
  from fairseq import tokenizer
  from fairseq.tasks import register_task
  from fairseq.tasks.cross_lingual_lm import CrossLingualLMTask
  from pytorch_translate.data.masked_lm_dictionary import MaskedLMDictionary
label_desc: Use image node_id 1 for calling the PytorchTranslateCrossLingualLMTask obj's underlying member method code with example usage: obj.add_args(parser) without return types