Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (correct), CASE_DIFF (case error), PUNCUATION_DIFF (punctuation error), CASE_AND_PUNCUATION_DIFF (both case and punctuation error), STEM_BASED_DIFF (stem word error), DIGIT_DIFF (digit error), INTRAWORD_PUNC_DIFF (intra-word punctuation error), and UNKNOWN_TYPE_DIFF (an error that does not corrrespond to the previous categories)].
One example: ['hey', 'everybody', 'ivan', 'from', 'weights', 'and', 'biases', 'here', 'in', 'this', 'video', "i'd"]
Solution is here: ['CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'CASE_DIFF', 'UNKNOWN_TYPE_DIFF', 'CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF']
Explanation: This sentence is a good example since the input stream is a grammatically incorrect statement and the output labels correctly classify the words that were incorrect.

Now, solve this: ['the', 'era', 'from', '1945', 'to', '1980', 'was', 'action-packed', 'to', 'say', 'the', 'least', 'during', 'this', 'period', 'the', 'United', 'States', 'experienced', 'the', 'baby', 'boom', 'the', 'civil', 'rights', 'movement', 'the', 'tumultuous', '1960s', 'and', 'the', 'quagmire', 'of', 'Vietnam', 'this', 'era', 'was', 'also', 'riddled', 'with', 'contradictions', 'a', 'sense', 'of', 'optimism', 'in', 'the', 'future', 'and', 'a', 'conviction', 'that', 'American', 'economic', 'prosperity', 'was', 'endless', 'was', 'tempered', 'by', 'fears', 'of', 'nuclear', 'annihilation', 'and', 'a', 'war', 'on', 'poverty', 'a', 'foreign', 'policy', 'based', 'on', 'democracy', 'and', 'anti-communism', 'abroad', 'was', 'undermined', 'by', 'the', 'suppression', 'of', 'civil', 'rights', 'and', 'civil', 'liberties', 'at', 'home', 'material', 'comforts', 'and', 'Leave', 'It', 'to', 'Beaver', 'visions', 'of']
Solution:
NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF PUNCUATION_DIFF CASE_DIFF NO_DIFF PUNCUATION_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF PUNCUATION_DIFF NO_DIFF CASE_DIFF CASE_DIFF CASE_AND_PUNCUATION_DIFF NO_DIFF NO_DIFF PUNCUATION_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF PUNCUATION_DIFF CASE_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF PUNCUATION_DIFF CASE_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF PUNCUATION_DIFF CASE_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF PUNCUATION_DIFF PUNCUATION_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF PUNCUATION_DIFF NO_DIFF PUNCUATION_DIFF CASE_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF CASE_DIFF NO_DIFF NO_DIFF NO_DIFF