  tokens = [sent for sent in nltk.sent_tokenize(text) for word in nltk.word_tokenize(text)]  filtered_tokens = [token for token in tokens if re.search('[a-zA-Z]', token)]  stems = stemmer.stem(filtered_tokens)  words_stemmed = tokenize_and_stem("Today (May 00, 0000) is his only daughter's 