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)].

['now', "I'd", 'like', 'to', 'introduce', "today's", 'featured', 'presenter', 'William', 'play', 'wilt', 'way', 'is', 'a', 'assistant', 'professor', 'in', 'the', 'Department', 'of', 'material', 'science', 'and', 'engineering', 'and', 'a', 'center', 'fellow', '', 'the', 'Precourt', 'Institute', 'for', 'energy', 'at', 'Stanford', 'University', 'fessor', 'Troy', 'has', 'received', 'numerous', 'honors', 'including', 'the', 'Mrs', 'outstanding', 'Young', 'Investigator', 'award', 'in', '2018', 'the', 'Volkswagen', 'BASF', 'science', 'award', 'electrochemistry', 'in', '2016', 'Camille', 'Dreyfus', 'teacher', 'scholar', 'award', 'in', '2016', 'and', 'many', 'others', 'in', '2012', 'he', 'was', 'also', 'named', 'as', 'one', 'of', 'the', 'top', '35', 'innovators', 'under', 'the', 'age', 'of', '35', 'by', 'mi', "t--'s", 'Technology', 'Review', 'he', 'received', 'his', 'BS', 'in', 'Applied', 'Physics']
CASE_AND_PUNCUATION_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF UNKNOWN_TYPE_DIFF UNKNOWN_TYPE_DIFF UNKNOWN_TYPE_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF CASE_DIFF CASE_DIFF NO_DIFF CASE_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF CASE_DIFF NO_DIFF NO_DIFF PUNCUATION_DIFF UNKNOWN_TYPE_DIFF UNKNOWN_TYPE_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF CASE_DIFF CASE_DIFF NO_DIFF NO_DIFF CASE_DIFF NO_DIFF PUNCUATION_DIFF CASE_DIFF NO_DIFF NO_DIFF CASE_DIFF CASE_AND_PUNCUATION_DIFF CASE_DIFF NO_DIFF PUNCUATION_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF NO_DIFF PUNCUATION_DIFF NO_DIFF NO_DIFF PUNCUATION_DIFF CASE_DIFF PUNCUATION_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 PUNCUATION_DIFF