# use Penn Treebank P.O.S for POS Tagging and answer the following questions (please use python and provide python codes below, thanks) import nltk from nltk import word_tokenize from nltk.corpus import brown

# Question 3: # Tokenize and tag using given sentence. # What different pronunciations and parts-of-speech are involved? MySentence = 'They wind back the clock, while we chase after the wind.'

# Question 10: # Train a unigram tagger and run it on some new text. Observe that some words are not assigned a tag. Why not? # Use brown corpus as training data MyText = 'Here put your favorite words'