Let's extract all the nouns which are present in the corpus. It's very useful practice when you want to extract something specific. We are using NN, NNS, NNP, NNPS tags to extract the nouns.

nouns = [] 
for tag in tagged_wt:
nouns.append([k for k,v in tag if v in ['NN','NNS','NNP','NNPS']])

[['way', 'text', 'words'], ['processes', 'text', 'words', 'tokenization', 'words', 'tokens'], ['Punctuation', 'marks', 'tokens'], ['token', 'sentence', 'analysis'], ['part', 'speech', 'word', 'example', 'nouns', 'person', 'place', 'thing', 'verbs', 'actions', 'occurences', 'adjectives', 'words', 'describe', 'nouns'], ['attributes', 'summary', 'piece', 'text', 'nouns', 'verbs', 'adjectives']]