这会产生广度优先遍历（与优先处理首先找到的第一个链接不同，后者是一种深度优先遍历）。

This results in breadth-first traversal (compared to digging down into the first link found, which would result in depth-first behavior).

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整个识别过程主要分成两个步骤，首先使用隐马尔可夫模型进行词性标注，然后利用具有优先级别的匹配规则对第一步的结果进行修正和转换。

The whole process was divided into two steps. First to use the hidden Markov model for part-of-speech tagging, and then made use of match rules to amend and convert the result of the HMM step.

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