<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def get_anki_vocab(lang=['eng'], limit=None, filename='anki_en_vocabulary.csv'):
 """ 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 """

    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