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

1、

This is a static semantic error.

这是个静态语义错误。

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2、

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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3、

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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4、

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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5、

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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6、

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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7、

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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8、

Semantic image retrieval: review and research

语义图像检索研究进展

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9、

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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10、

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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11、

Metaphor is one of the most important means of semantic shift.

连贯是指语义的关联，正如韩礼德所说：最好把语篇看作是语义单位，不是形式而是意义单位。隐喻是词义转移最常见的手段之一。

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12、

Part II lists some frequently used ways of formation of English euphemism, including loanwords, widening or narrowing of meaning, formed by rhetorical application-metaphorical transfer, understatement and rhyming slang, phonetic distortion, semantic shift, and omission.

第二部分阐述了英语委婉语的主要构成方法：包括借用外来语，词义扩大或缩小，隐喻转换，降格陈述，语音畸变，语义转换，借用压韵俚语和省略。

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13、

The Semantic Space of Prepositional Phrases

介词短语的语义空间

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14、

The proposed method was based on vector support machine of semantic space in which text and user profile were represented by the semantic space.

提出基于语义空间的支持向量机的文本过滤，用语义来表示文本和用户模板。

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15、

An automatic label generating algorithm based on semantic space transformation is developed by undermining the semantic relations between texts.

着眼于深度挖掘文本之间语义联系，提出基于语义空间转换方法的类别标签自动发现算法。

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16、

Main works are as follows: ( 1) Methods to construct latent semantic space were analyzed.

本文的主要工作如下：（1）分析潜在语义空间的构造方法。

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17、

A WSD Method based on Conceptual Distance and Semantic Space Similarity

一种基于语义距离和语境相似度的词义排歧方法

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18、

Association Retrieve Based On Concept Semantic Space

基于概念语义空间的联想检索

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19、

Text filtering based on support vector machine of semantic space

基于语义空间的支持向量机的文本过滤

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20、

Then, through analyzing the characteristics and procedure call conventions of different processor platform, a method of datareconstruction is proposed based on the semantic mapping and stack frame balancing.

然后，通过分析不同处理器平台特性和程序调用规范提出了基于语义映射和栈帧平衡的数据恢复方法。

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