So the task is to fulfill the POS_tag (sentence) method.

I got stuck with tokenisation and the steps onward.

pip3 install nltk You may also need to download some extra data: >>> import nltk >>> nltk.download ('stopwords') >>> nltk.download ('punkt') >>> nltk.download ('averaged_perceptron_tagger') Implement the POS_tag (sentence) function which takes in a string and return the Part-of-Speech(POS) tag of each word in the sentence. To complete this task, you need to fulfill the requirements shown below: 1) Convert all the characters in the sentence to lower case. 2) Tokenize the sentence. 3) Remove the stop words and punctuation. 4) Conduct the pos tagging and return a list of tuples. Here is a test case: >>> import nltk >>> sentence = 'The Force will be with you. Always.' >>> POS_tag(sentence) [('force', 'NN'), ('always', 'RB')]