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This lecture covers Part-of-Speech (PoS) tagging, focusing on probabilistic models like Hidden Markov Models (HMM). It explains the resolution of lexical ambiguities, stemming, lemmatization, and the formalization of PoS tagging. Different models such as CRF and LSTM are also discussed, along with their performances in PoS tagging.