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Sort the lines of code to find the 10 best bigrams according to Student-T test from the government subset of the Brown Dataset.

Put the items in the correct order
finder = BigramCollocationFinder.from_words(gov_text)
gov_text = brown.words(categories='government')
finder.nbest(bigram_measures.student_t, 10)
bigram_measures = nltk.collocations.BigramAssocMeasures()
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