Chinese text segmentation for advanced function modules that can support multiple types of text, support for stop words filtering.
进行高级汉字文本分词的功能模块，可以支持多种类型文本，支持停用词过滤。
This paper puts forward a new algorithm about automatic Chinese text segmentation based on Chinese characters string frequency and length descending.
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。
In this paper, we first construct the system architecture, improve the Chinese text segmentation algorithm, then, by making use of domain ontology base and sentence similarity, design the system.
文章首先构造了自动答疑系统架构，改进了中文分词算法，并利用领域本体库和语句相似度设计了该系统。
In order to solve the problem of automatic segmentation of handwritten Chinese text, a dynamic programming-based online handwritten Chinese character segmentation method is proposed.
为解决手写汉字文本的自动切分问题，提出了一种基于动态规划的联机手写汉字分割方法。
Automatic word segmentation of modern Chinese text is the base of Chinese information processing. So a general purpose application interface for word segmentation is important.
现代汉语文本自动分词是中文信息处理的重要基石，为此提供一个通用的分词接口是非常重要的。
Chinese word segmentation is always the first step of subject extraction. The quality of word segmentation is effective to the quality of text subject extraction.
而主题提取是以中文分词作为第一步，分词质量直接影响到文献主题提取的质量。
In this paper, the Word Segmentation technology of Chinese Text Classification is debated emphatically.
本文对中文文本分类的分词技术进行了着重讨论。
Therefore word segmentation is a key sub-problem of Chinese information processing, such as machine translation, information retrieval and text classification.
因此，分词在机器翻译、信息检索、文本分类等中文信息处理的各项任务中都发挥着基础性的重要作用。
Chinese word segmentation is a basic research issue on Chinese NLP areas such as information retrieval, machine translation, text correction, and so on.
汉语分词是信息检索、机器翻译、文本校对等中文信息处理重要领域的基础。
So, to make the computer capable of handling Chinese text, text must do Chinese word segmentation first.
所以，要使计算机能够处理中文文本，就必须先进行中文分词。
In the text mining, the technology of Chinese automatic word segmentation is a difficult problem that the computer science has to face.
在文本挖掘中，中国自动分词技术是计算机科学所要面对的一个难题。
As physical cues, spaces were inserted into sentences to explore the effect of word segmentation on Chinese text reading for Korean students and Thai students.
本研究以空格为词切分标记，利用眼动仪记录韩国留学生和泰国留学生在阅读不同词切分方式呈现的汉语陈述句时的眼动情况。
As physical cues, spaces were inserted into sentences to explore the effect of word segmentation on Chinese text reading for Korean students and Thai students.
本研究以空格为词切分标记，利用眼动仪记录韩国留学生和泰国留学生在阅读不同词切分方式呈现的汉语陈述句时的眼动情况。
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