Wikipedia Language model
a probability distribution over sequences of words. Statistical language models try to learn the probability of the next word given its previous words. > Models rely on an auto-regressive factorization of the joint probability of a corpus using different approaches, from n-gram models to RNNs (SOTA as of 2018-01) ([source](
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