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This document discusses natural language processing and statistical sequence classification techniques. It reviews hidden Markov models (HMMs) for part-of-speech (POS) tagging and introduces maximum entropy Markov models (MEMMs). It explains how HMMs, MaxEnt models, and MEMMs can be used for statistical sequence classification tasks like POS tagging. The document also covers concepts like transition probabilities, observation probabilities, the Viterbi algorithm, and entropy as it relates to uncertainty in

Author

Eman Asem

Language

EN