MEMM change the probability function of the transition, so the current state is related to its previous state, and the context information is represented.
最大熵马尔可夫通过改变概率转移函数，使得状态的转移与输入值以及前一状态相联系，很好地体现了序列的上下文信息。
Conditional Random Fields (CRF) is arbitrary undirected graphical model that bring together the best of generative models and Maximum Entropy Markov models (MEMM).
条件随机场是一种无向图模型，它具有产生式模型和最大熵马尔可夫模型的优点。
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