def remove_ml_words():
    if show_diagnostics.lower() == 'y':
        print "distilling to nouns and verbs..."
    nv = ['NN', 'NNS', 'NNP', 'NNPS', 'VB', 'VBD', 'VBG', 'VBN', 'VBP', 'VBZ']
    signal = []
    for (i, j) in pos:
        for x in nv:
            if j == x and not ['is', 'are', 'were', 'to', 'be', 'has', 'have', 'will', 'its'] in i:
                signal.append(i)
            else:
                pass
    return signal
                
#w = remove_ml_words()
dataset/ETHPy150Open rossgoodwin/sonnetizer/sonnetizer_n.py/remove_ml_words/swapped operands of `in`