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A visual comparison between a first order HMM and a linear chain CRF. The HMM defines a joint probability P(O, Q) whereas the CRF defines a conditional probability P(Q | O). Note that an HMM only has access to the current observation ot but the CRF has access to the entire observation sequence O at any given time.
