Markov Models Markov models are statistical tools that are useful for NLP because they can be used for part-of-speech-tagging applications Their first use was in modeling the letter sequences in works of Russian literature They were later developed as a general statistical tool More specifically, they model a sequence (perhaps through time) of random variables that are not necessarily independent They rely on two assumptions: Limited Horizon and Time Invariant
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