From swiftkey, we have a set of data taken from Twitter, news, and blogs from which we can take sets of words in multiples of one through four. From here, we are able to take which words appeared most often together and create a suitable list to compare user input with.
In the case wherein there is no pattern in the input matching what we have in the training data, we provide users with the most frequently used words regardless of neighboring words.
