By organizing data block partition, two layer nested bintree were built.

在数据分块组织的基础上构建了两层嵌套二叉树。

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When accessed to the whole raster data, the records remain in the stack are the re- quired bintree encoding results.

当对整个栅格数据遍历一次后，栈中剩下的记录便是所需的线性二又树编码结果。

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The results of experiments show that the bintree based on SLM can make contribution to speech pauses' prediction effectively.

实验结果表明，基于SLM生成的二叉树能够较好地为语音停顿的预测做出贡献。

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