查询词典 corpus

The development of corpus linguistics brings forth new methods for the study of languages and foreign language teaching.

语料库语言学的兴起和发展，为语言研究和外语教学带来了新的方法。

With the widely use of computer, Corpus began to be used in the modem English teaching.

随着计算机技术的广泛应用，语料库已经开始进入现代英语教学课堂。

The innovation is a corpus education of core.

创新是主体教育的核心。

I am personal to is a corpus in a nation.

在一个国家中个人是主体。

Therefore the setting up of the corpus and its application in MT will became more important and useful.

重要的是这两种翻译方式都是以大型语料库的建立为前提的，由此语料库的研究成为一些

However, there are several problems in the evaluation corpus of student evaluation.

然而，目前我国学生评价在评价主体上还存在很多问题。

Later the development of Corpus in China will be introduced together with its influence on Chinese students.

接下来，将进入介绍语料库的内容，其中包括它的使用方法，比起传统方法的好处，它在中国的发展情况和它对学习者的影响。

In addition, the author had had the corpus tagged in order to serve the research purposes of this thesis.

另外，为了研究的需要，笔者还对语料库进行了一系列的标注。

Chapter Four is the design and method of present research including theresources of the mini corpus used in this research.

第四部分是本文研究的设计及方法，包括研究中所采用的微型语料库的来源。

But this view is not shared by all corpus linguists.

这种意义的选择反映了语言运作的内在机制。

You can snipe the second and third union leaders from this position.

您可以鹬第二和第三工会领袖从这一立场出发。

Aiming at the currently shortage of XML streams quality detecting, this paper proposes a new forecasting method of XML streams quality by least squares support vector machines, which is used the method of XML keys' vector matrix as windows, and vector product wavelet transform to multilevel decompose and refactor the XML streams series, that can fulfill real-time checking demand of XML quality, and ensure constraint, consist- ency and integrality. For even more adapting net load, it proposes a control strategy by weight and adaptive adjustment to ensure XML streams quality.

针对当前XML数据流质量检测存在的不足，提出构建XML键的矢量矩阵作为窗口，利用矢量积小波变换多级分解与重构XML数据流，再结合最小二乘支持向量机对XML数据流质量进行预测的一种方法，满足XML数据流质量重构时实时检测的要求，保证XML数据的约束性、一致性与完整性；为了更好的适应网络负载，采取加权与自适应窗口调整等调度策略充分保证XML数据流的质量检测。