statistical language

Which language translations does microsoft's own statistical machine translation engine support?

microsoft自己的统计技术机器翻译引擎支持哪些语言的翻译？

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a kind of chinese combined language model, that takes into account pos ( part of speech) information in a trigram-based statistical language model, is presented in this paper.

本文给出了一种将词类信息融入三元文法模型的汉语组合语言模型。

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This paper firstly analyzes the shortcomings of traditional proper noun recognition method in statistical language models and other corpus-based models.

本文以人名识别为例，分析了目前流行的基于语料库和统计语言模型的专名识别方法中在概率估值问题上存在的弊端；

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Combining Statistical Model with Linguistic Knowledge in Target Language Generation

统计与规则相结合的目标语言生成策略

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We use the open-source statistical machine translation software to train the language model and translation model, and the decoder to decode.

利用开源的统计机器翻译软件对语言模型和翻译模型进行训练，并使用本文设计的解码器进行解码。

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This study is significant to statistical language model.

这种分类研究对于统计语言模型的训练具有重要意义。

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The rule quantification problem is the key to a hybrid language model which integrates grammar rules into a statistical language model.

规则量化问题是基于规则与统计相结合的计算语言模型的关键性问题。

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A Survey of Statistical Language Modeling for Text Retrieval

文本检索的统计语言建模方法综述

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Quantitative Measurement of Training Sample Capacity for Chinese Statistical Language Model

汉语统计语言模型训练样本容量的定量化度量

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A statistical and scientific database definition language based on semantic data model

一个基于语义数据模型的统计与科学数据库定义语言

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Application Research on Statistical Language Model of Large Vocabulary Continuous Speech Recognition System

大词汇量连续语音识别系统的统计语言模型应用研究

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With the help of Chinese grammar this paper raises two hybrid statistical language models based on word and parts of speech, and the experiments prove that by this model the accurate rate is improved.

在实验中，将这两种混合语言模型与基于词的语言模型进行了比较。实验证明，在语言模型中引入词性后，提高了音字转换正确率。

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Finally, in connection with the sparse data problem in the processing of PP disambiguation and current statistical language models, the author introduces the backed-off N-Gram based algorithm and similarity-based smoothing.

最后，针对处理介词短语歧义时遇到的数据稀疏这一所有统计语言模型都面临的难题，分析介绍了基于N-Gram的回退法介词短语消歧及平滑技术。

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That is to say, Chinese statistical language models combined with IR have future?

也就是说，中文统计语言模型和IR相结合有没有前途？

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Then this paper compares the PJM model with the method proposed by the other researchers. The experiments demonstrate that in the statistical language model framework compared with only using passage-level information combining the passage-level and document-level information can improve the model performance. 3.

然后本文比较了别的学者提出的方法与新的PJM模型，用实验证明了在统计语言模型框架下综合passage级别和文档级别两者信息相对仅仅使用passage级别信息也可以产生检索效果的提升。

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This paper adopts statistical analysis to assess the performance of English majors at Beijing Language and Culture University in TEM4 and TEM8 in the last five years. T-test and Pearson correlation coefficient have been run on the test results.

笔者运用统计方法，评估了北京语言大学外国语学院英语系学生近年来参加全国英语专业四级和八级统测的水平，用T检验和皮尔逊相关系数分析了统测的结果。

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It is verified by experiment that eventually smoothed optimized N-gram statistical language models and error correction Bad Case mining have a nice effect for the search engine.

最终通过实验验证了平滑优化N-gram统计语言模型以及挖掘纠错Bad Case之后的良好纠错效果。

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Application of EM algorithm in statistical natural language processing

EM算法在统计自然语言处理中的应用

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In statistical language, this estimate is called the between-column variance.

在统计学中这个估计值叫组间方差。

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This paper makes use of the natural language processing, machine learning, statistical machine translation technology, in view of the network Chinese review information, extract the evaluation target and evaluation word collocation relations.

本文借助自然语言处理、机器学习、统计机器翻译等技术，针对中文网络评论信息，抽取出其中的评价对象和评价词的搭配关系。

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In statistical language , this estimate is called the between-column variance.

在统计学中这个估计值叫组间方差.

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This paper starts with the basic principle of text retrieval models, has analysed the pluses and minuses of several kinds of traditional IR models, given the basic principle, key technology and the advantage of statistical language model based IR models.

本文从文本检索模型的基本原理入手，分析了几种传统IR模型的优缺点，给出基于统计语言模型的IR模型的基本原理、关键技术以及它的优势所在。

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Proposed an automatic SEs extraction method based on transformation and mapping: It firstly used link grammar and transformation for lower level semantic structure analysis of English, and through statistical word alignment to find the correspondence of the source language and the target language.

提出基于转换和映射的语义单元自动获取方法：利用链语法分析和转换实现英语的浅层语义结构分析，并且通过统计词语对齐找到双语的对应关系。

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Second, to address the issues of long-distance-constraint efficiently, the combination of rough rules with classical statistical language models is researched.

第二，由于传统的统计语言模型不能有效解决远距离约束问题，为解决这一问题，我们研究了将粗规则集与统计语言模型进行融合的方法。

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