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.
统计语言模型作为一种自然语言处理的工具，已经被证明有能力处理大规模真实文本。
As a natural language processing tool, statistical language modeling is proved to be able to process large-scale real text.
另外，统计语言模型自从被应用到信息检索领域就被认为是优秀的信息检索模型框架。
In addition, since the statistical language model was applied to the IR area, it has been regarded as a very good IR framework and been widely researched.
统计语言模型作为一种自然语言处理的工具，已经被证明有能力处理大规模真实文本。
The Design and Implement of a Mobiles Chinese Input System Based on Statistical Language Model;
而统计语言模型和IR相结合后所形成的IR模型的提出，是信息检索模型研究上的重大进展。
The proposition of IR model formed after statistical language model combined with IR has great progress at information retrieval model research area.
对大规模语料进行统计，发现一些语言现象和建立统计语言模型，是语言学和计算语言学研究常用的方法。
To count the large scale language corpus, to find some linguistic phenomena and to establish statistical model are the common method used in linguistic research and computational linguistic research.
在本文中，我们提出了一种统一的统计语言模型方法用来汉语自动分词和中文命名实体识别，这种方法对基于词的三元语言模型进行了很好的扩展。
In this paper, we extend a word-based trigram modeling to Chinese word segmentation and Chinese named entity recognition, by proposing a unified approach to SLM.
给定源语言句子，系统在所有候选目标语言句子中，基于统计模型选择概率最大的句子作为翻译结果。
Given a source sentence, and based on the statistical model, the system selects the string with the highest probability by statistical model from all possible target sentences.
统计机器翻译是利用基于语料库训练得到的统计参数模型，将源语言的文本翻译成目标语言，它是机器翻译的主流方向。
Statistical machine translation (SMT) is the text translation by the statistical parameter models obtained from the training corpus, which has become the mainstream of machine translation research.
统计机器翻译是利用基于语料库训练得到的统计参数模型，将源语言的文本翻译成目标语言，它是机器翻译的主流方向。
Statistical machine translation (SMT) is the text translation by the statistical parameter models obtained from the training corpus, which has become the mainstream of machine translation research.
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