code: def test_multilingual(self):
      # import nltk
      # nltk.download('omw')
      # French
      text = "chien"
      expected_texts = [
          "cliquer",
          "clic",
          "aboyeur",
          "hot dog",
          "franc",
          "canis familiaris",
          "achille",
          "toutou",
          "cliquet",
          "clébard",
          "talon",
          "chienchien",
          "quignon",
          "chien de chasse",
      ]
      aug = naw.SynonymAug(aug_src="wordnet", lang="fra")
      augmented_data = aug.augment(text)
      augmented_text = augmented_data[0]
      self.assertTrue(augmented_text in expected_texts)
  
      expected_texts = [
          "toutou",
          "maître chien",
          "clébard",
          "dog",
          "chienne",
          "chiens",
          "chiot",
          "cynophiles",
          "clebs",
      ]
      model_path = os.path.join(
          os.environ.get("MODEL_DIR"),
          "word",
          "ppdb",
          "ppdb-1.0-s-lexical-french",
      )
      aug = naw.SynonymAug(aug_src="ppdb", model_path=model_path)
      augmented_data = aug.augment(text)
      augmented_text = augmented_data[0]
      self.assertTrue(augmented_text in expected_texts)
  
      # Spanish
      text = "Un rápido zorro marrón salta sobre el perro perezoso"
      aug = naw.SynonymAug(aug_src="wordnet", lang="spa")
      for _ in range(10):
          augmented_data = aug.augment(text)
          augmented_text = augmented_data[0]
          if augmented_text != text:
              break
  
      self.assertNotEqual(augmented_text, text)
  
file_path: nlpaug/test/augmenter/word/test_synonym.py
imports: import unittest
  import os
  from dotenv import load_dotenv
  import nlpaug.augmenter.word
label_desc: Use image node_id 7 for calling the TestSynonym obj's underlying member method code with example usage: obj.test_multilingual() without return types