This n-gram prediction model uses bootstrap re-sampling, i.e., successive corpora or 0.1% random samples to predict the next word from the first n words, e.g., "city" is the third word in the trigram (n=3) "new york city."
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This n-gram prediction model uses bootstrap re-sampling, *i.e.*, successive *corpora* or 0.1% random samples to predict the fourth word in a quadrigram (n=4) from the first three words, *e.g.*, "churches" is the fourth word in the quadrigram "new york city churches"
d2i2k2w/DataScienceCapstone
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This n-gram prediction model uses bootstrap re-sampling, *i.e.*, successive *corpora* or 0.1% random samples to predict the fourth word in a quadrigram (n=4) from the first three words, *e.g.*, "churches" is the fourth word in the quadrigram "new york city churches"
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