Research on conducting the multiple source data semantics transformation using the data dictionary.

Define the data semantics through a business glossary

通过业务术语表定义数据语义

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Next, by exploiting data semantics, the algorithm improves scheduling performance combined with predictive algorithm.

继而通过挖掘数据语义，利用数据相似性，结合预测算法，进一步提高了调度性能。

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This chapter studies that different kinds of modal adverbs have different effects and point out the connection between different modal adverbs and semantic features.

本章考察了各类语气副词在语篇中起到的不同作用，并指出这些区别与它们各自的语义特征的联系。

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Adverbs are mainly from modal as a method of composition, modal the names and semantic problem of the investigation.

主要从情态副词所充当的句法成分、情态副词的连用和语义问题进行了考察。

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Modal Semantic Data Analysis Based on Rough Set Theory

基于Rough集的模态语义数据分析

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Pattern matching utilizes abstract syntax tree isomorphism algorithm; Pointer semantics determines the semantics of programs through semantic constraints to check out security vulnerabilities; Interprocedural analysis adopts summary-based context sensitive analysis.

模式匹配采用了抽象语法树同构判断算法；指针语义则是通过语义约束来确定程序唯一语义以达到检查安全漏洞的目的；跨过程分析采用基于总结的上下文敏感分析方法。

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The necessary condition of irony is semantic clash whose function is to cause contrast effect, the foundation of pragmatic functions of irony. Contrast effect relies on the magnitude of contrast between proposition and context.

反语的基本条件是语义冲突，作用是产生对立效应，这是反语各种语用功能的基础，其强度取决于命题与语境的差异量值。

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If a variable is used before it is initialized, a semantic error is generated, the variable is created with a value of zero, and a message is printed.

如果变量是在初始化之前使用的，那就会产生语义错误，使用值为0来创建这个变量，并打印一条消息。

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Enable semantic error checking to ensure that there are no semantic errors in the model.

启用语义检查，确保在模型中没有语义错误。

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On top of that, we introduced the new Codan static analysis framework as optional component to provide semantic error reports ahead of compile time.

在此基础之上，我们引入新的Codan静态分析框架作为可选组件，在编译之前提供语义错误报告。

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This is a static semantic error.

这是个静态语义错误。

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The Latent Semantic Image Retrieval Based on Non-negative Matrix Factorization

基于非负矩阵分解的隐含语义图像检索

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Extraction of object in an image is a precondition for semantic image retrieval.

图像目标提取是图像语义抽取及其应用的基础。

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Thus, the semantic image retrieval and classification is proposed.

针对这一问题，提出了图像语义检索和分类技术。

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Research on Several Key Issues of Emotional Semantic Image Retrieval

基于情感语义的图像检索关键技术研究

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Develop a semantic image retrieval method using multiple instance learning.

提出了一种采用多示例学习的图像语义检索方法。

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As a result, recent research on image retrieval has shifted to semantic image retrieval.

因此，现在关于图像检索的研究已转换到语义图像检索中。

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Semantic image retrieval: review and research

语义图像检索研究进展

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From law verification to meaning explanation: semantic shift of pedagogy

从规律的证实到意义的解释：教育学的语义转向

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A Brief Analysis of Metaphorical Semantic Shift of Animal Terms in English

英语动物名称的隐喻性转义分析

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