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。
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。
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