Take a tokenized version of Shakespeare's Hamlet from the NLTK corpus:
import nltk
nltk.download('gutenberg')
from nltk.corpus import gutenberg
hamlet = gutenberg.words('shakespeare-hamlet.txt')Preporcess the text by filtering words shorter than three letters and words that are marked as stopwords. Find the ten best bigrams according to the PMI association score.
Enter a list of the tuples (bigrams) you have found in the answer field, with each bigram on a new line.
For example,
[('First word', 'Second word'),
('First word', 'Second word'),
('First word', 'Second word')]