蒙文文本图像的自动倾斜检测。
Automatic skew detection method of Mongolian document images.
蒙文文本图像的版面分析。
上述两种文本如有不符，应以中文文本为准。
Where any inconsistency occurs in account of the interpretation of these two texts, the Chinese text shall be deemed superior.
提出一种基于汉字拼音声调的中文文本水印算法。
A text watermark algorithm based on the tone of Chinese characters is proposed.
本文对中文文本分类的分词技术进行了着重讨论。
In this paper, the Word Segmentation technology of Chinese Text Classification is debated emphatically.
投标人应根据英文文本中的工程量清单进行报价。
Tenderers shall follow the English Version of Bills of Quantities for pricing.
中文文本的特征项抽取和表示是中文文本过滤基础。
Text feature extraction and representation is the fundamental operation for Chinese Text Filtering.
本文的工作是设计并实现一个蒙文文本自动分类器。
This work is to design an automatic classifier of the Mongolian language and bring to bear it.
针对中文文本组成上的特点，研究了中文文本聚类的模型。
Study on Chinese text clustering models in compliance with the characteristics of Chinese texts.
是列奥·托尔斯泰原始的俄文文本，还是Maude的翻译？
Leo Tolstoy's original Russian text? Or the Maude translation?
提出一种基于球形的模糊c -均值算法的中文文本聚类方法。
A clustering algorithm for Chinese documents based on the spherical fuzzy c-means algorithm is presented.
提出了一种基于汉字串频度及串长度递减的中文文本自动切分算法。
This paper puts forward a new algorithm about automatic Chinese text segmentation based on Chinese characters string frequency and length descending.
本文提出了一种规则与统计相结合的中文文本自动查错模型与算法。
A hybrid model based on the combination of rules and statistics are proposed in this article.
2011年十一月十八日于印尼巴厘岛通过。一式两份，均为英文文本。
Adopted in Bali, Indonesia, on the Eighteenth Day of November in the Year two Thousand and Eleven, in two original copies in the English language.
例如，很多用户代理都会用启发的方式来决定日文文本的多种编码方式。
For example, many user agents use a heuristic to distinguish the various encodings used for Japanese text.
本文认为，翻译是一项创造性的工作，这是由原文文本的特点所决定的。
The present paper proposes that translation is a creative task, which is determined by the characteristics of original text.
本文将中文文本的语法错误分为搭配错误和与句型成分相关的错误两大类。
The syntactic errors in Chinese texts can be divided into two categories: matching errors and sentence-component-relevant errors.
但是国内中文文本聚类的研究还处于初期阶段，还存在许多问题亟待解决。
But the research of Chinese text clustering is at its early stage, and there are still many problems to be resolved.
这个例子测试了一块正文文本的字体(Georgia对Verdana)。
The test example above tests the font (Georgia vs. Verdana) of a block of body copy.
在图5中，从单独的回复文档，在消息中创建了正文文本、按钮、图像和签名。
In figure 5, the body text, button, image, and signature are created in the message from individual response documents.
本文提出了一种根据汉字统计特性和基于实例映射的中文文本自动分类模型。
This paper proposes an example based mapping method, which USES Chinese properties of CCs for Chinese text categorization.
预处理方面，本文分为两个步骤：科技论文文本数据预处理和中文分词处理。
In the aspect of the pretreatment, this paper contains two approaches: the one is basic text data pretreatment, and the other is Chinese participle.
给出一种基于多层前馈神经网络的中文文本分类模型，介绍了该模型的设计和实现。
This paper presents a text categorization model based on multilayered feedforward neutral network, and introduces the design and implementation of this model.
我避免添加任何图解或图表，并且在页面的顶部明确地设计出一块区域用于正文文本。
I therefore avoided adding anymore graphics or diagrams to either page and clearly designated an area at the top of the page for the body text.
一般说来，传统的翻译研究都是以原文文本为主，注重文本对比和对翻译标准的遵守。
Traditional study on translation has generally been source-oriented, focusing on text comparison and translation criteria.
比如，德语句子通常比英文文本要长，短篇小说的德语版比英语版长一两页没有什么关系。
For example, German sentences are usually longer than their English counterparts, and it doesn't matter if a short story is one or two pages longer in German than in English.
基于朴素贝叶斯分类方法的实验表明，提出的方法能够有效提高中文文本的分类准确率。
The experiment of Naive Bayes classification indicates that this method can effectively improve classification precision of Chinese texts.
例如，德国倾向于使用英语之外，更长的话，而许多亚洲语言需要少得多的空间比英文文本。
For example, German tends to use much longer words than English, whilst many Asian languages require much less space for text than English.
例如，德国倾向于使用英语之外，更长的话，而许多亚洲语言需要少得多的空间比英文文本。
For example, German tends to use much longer words than English, whilst many Asian languages require much less space for text than English.
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