本文研究的目的是建立基于词上下文的汉语统计语言模型。
The aim of this thesis is to construct a word-based context Chinese language model.
该算法结合统计语言模型和中文构词规则等信息，能有效识别中文姓名。
The algorithm integrated statistic model and semantic rules is able to recognize Chinese person names effectively.
本文对统计语言模型的相关技术进行了探讨，并对蒙古语的特点进行了分析。
This paper has discussed the correlative technic of Statistical Language Model, and has analyzed the characteristics of Mongolian.
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