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)].

["let's", 'talk', 'about', 'electrical', 'conduction', 'in', 'heart', 'cells', 'now', 'the', "heart's", 'a', 'muscular', 'organ', 'with', 'muscle', 'cells', 'called', 'myocytes', 'myocytes', 'are', 'special', 'muscle', 'cells', 'that', 'are', 'unique', 'to', 'the', 'heart', 'but', 'just', 'like', 'other', 'muscle', 'cells', 'they', 'contract', 'after', 'positive', 'ions', 'enter', 'the', 'cell', 'this', 'inflow', 'or', 'influx', 'of', 'positive', 'ions', 'gets', 'the', 'sarcoplasmic', 'reticulum', 'and', 'tells', '', 'sarcoplasmic', 'reticulum', 'to', 'release', 'calcium', 'ions', 'this', 'release', 'of', 'calcium', 'ions', 'facilitates', 'actin', 'myosin', 'binding', 'which', 'then', 'leads', 'to', 'muscle', 'contraction', 'now', "we're", 'going', 'to', 'talk', 'about', 'how', 'electrical', 'activity', 'passes', 'through', 'heart', 'cells', 'in', 'order', 'to', 'do', 'that', "I'm", 'going', 'to']
CASE_AND_PUNCUATION_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 STEM_BASED_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 PUNCUATION_DIFF CASE_DIFF NO_DIFF NO_DIFF NO_DIFF STEM_BASED_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 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 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 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