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N-Gram Representation
Represent a sequence of n words as either or , and write the joint probability of each word in a sequence having a particular value as . Applying the chain rule of probability gives: .
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A statistical language model is built to predict the next word in a sentence based on the probability of it occurring after the preceding sequence of words. This model is trained exclusively on a massive corpus of texts written in the 19th century. When this model is prompted with the partial sentence, 'To save the file, the user clicked the...', which outcome is the most probable explanation for its behavior?
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