ABSTRACT
Again and again, we have seen that natural language is a contextual encoding for expressing and transmitting information. For computers to understand natural language, mathematical models must first capture context. A model that accomplishes this—also the most commonly used model in natural language processing—is known as the statistical language model. This model is the basis of all natural language processing today, with applications including machine translation, speech recognition, handwriting recognition, autocorrect, and literature query.
