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Among the existing methods, most studies on automatic segmentation are based upon single model, which is either context-dependent or context-independent.
在现有的自动切分技术中，大多数研究都是基于单一模型，上下文相关或上下文无关的模型。
参考来源 - 汉语语音合成中自动切分技术的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
提出了一种基于汉字串频度及串长度递减的中文文本自动切分算法。
This paper puts forward a new algorithm about automatic Chinese text segmentation based on Chinese characters string frequency and length descending.
使用自动分词知识可以进一步提高自动切分精度，满足高标准的需求。
Knowledge of Chinese words automatic segmentation can raise the precision of automatic segmentation, and it can satisfy high precision requirements.
自动切分过程中会出现许多歧义，例如下图中只有红色标记的切分结果是正确的。
When segmenting automatically, there may exist disambiguation. For instance, in the following figure, only the segmentation marked with the red color is correct.
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