The mathematical modeling of most NLP tasks is Markovian. (More specifically, they tend to be HMMs, Hidden Markov Models). One of the popular "solutions" for Ma

The mathematical modeling of most NLP tasks is Markovian. (More specifically, they tend to be HMMs, Hidden Markov Models). One of the popular "solutions" for Markovian processes is the Metropolis algorithm which you might find relevant. Note in statistical learning the mathematical formulation generally operates as part of the loss function, the actual "model" is usually a neural network (in the context of deep or variational learning).