This paper presents an approach independent on word segmentation techniques and text collections.
本文的研究成果是提出了一种不需要进行中文分词,且不依赖文本数据集,能够同时适宜于中英文文献的文本表达方法。
参考来源 - 基于粗糙集理论的文本自动分类研究Word segmentation is the basis of Chinese information processing (NLP).
自动分词技术是中文信息处理的基础工程。
参考来源 - 现代汉语通用分词系统的技术与实现So, in my study, two primary questions were explored. The first one was how the mastery of Chinese grammar level influences Chinese word segmentation.
因此,本研究探讨两个问题:①语法知识掌握水平对中文词切分的影响。
参考来源 - 不同语法知识掌握水平对中文词切分的影响·2,447,543篇论文数据，部分数据来源于NoteExpress
Especially, it is very difficult to deal with special noun in Chinese automatic word segmentation.
特别是对专有名词的处理是中文自动分词中的又一个难点。
In this thesis, the goal of a general purpose word segmentation system is presented, its principle and schemes are discussed.
本文提出了通用分词接口的目标，论述了它的原理和设计方案。
As a basic component of Chinese word segmentation system, the dictionary mechanism influences the speed and the efficiency of segmentation significantly.
词典是中文自动分词的基础，分词词典机制的优劣直接影响到中文分词的速度和效率。
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