Compare the given TrigramTagger from the previous questions with a TrigramTagger where no backoff is provided. Train this tagger on all of the sentences from the Brown corpus with the category news. Then evaluate your tagger using evaluate function on all of the sentences from the Brown corpus with the category lore. Report the numbers.Which tagger performs better? Why?

Please provide the python code for the given output. Thanks!