 triplets of words) is a common choice with large training corpora (millions of words), whereas a bigram is often used with smaller ones.There are problems of balance weight between "infrequent grams" (for example, if a proper name appeared in the training data) and "frequent grams".Also, items not seen in the training data will be given a probability of 0.0 without smoothing.