Question: How do you estimate unigram and bigram probabilities from text? Also, then use those statistics to approximate the sentence probability? Unigram/ Bigram methods sometimes miss

How do you estimate unigram and bigram probabilities from text? Also, then use those statistics to approximate the sentence probability?

Unigram/ Bigram methods sometimes miss long-range dependencies among words.

Can we use bigger n-gram models in order to model language? If so why or if not why not?

Please explain in detail, please as I want to learn.

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