code: def get_anki_vocab(lang=['eng'], limit=None, filename='anki_en_vocabulary.csv'):
      
      texts = get_anki_phrases(lang=lang, limit=limit)
      docs = nlp(texts, lang=lang)
      vocab = get_vocab(docs)
      vocab['vector'] = get_word_vectors(vocab)  # TODO: turn this into a KeyedVectors object
      if filename:
          vocab.to_csv(os.path.join(BIGDATA_PATH, filename))
      return vocab
docs: Get all the vocab words+tags+wordvectors for the tokens in the Anki translation corpus
  
      Returns a DataFrame of with columns = word, pos, tag, dep, ent, ent_iob, sentiment, vectors