Learning NLP Language Models with Real Data – Towards Data Science

A model that computes either of these is called a Language Model. There are far to many possible sentences in this method that would need to be calculated and we would like have very sparse data making results unreliable. A stochastic process has the Markov property if the conditional probability distribution of future states of the process (conditional on both past and present states) depends only upon the present state, not on the sequence of events that preceded it. A process with this property is called a Markov process. In other words, the probability of the next word can be estimated given only the previous k number of words.