文中论述了在开发中文信息检索系统中所涉及到的两项关键技术，即中文分词技术和检索技术。
Two key techniques in the development of Chinese Information Retrieval System are discussed in this paper, i. e., Chinese word segmentation and search technique.
计算机可以很容易地理解英文单词，而对由词组成的中文句子，必须通过中文分词技术才得以理解。
The computer may very easily understand English word, but Chinese sentence which is composed by the word, which can be understood through Chinese participle technology.
本文系统地介绍了中文分词技术和模式匹配理论，依据他们的理论算法设计出解决地址数据匹配整合流程体系的方法。
The article introduces the Chinese partition technology and the pattern matching theory, designs a solution for address data matching and conformity way in systematic flow according to the arithmetic.
实验结果显示选取适当的特征数目、使用好的分词技术、使用命名实体识别技术都能改进中文话题追踪系统的性能。
The experimental result shows that the tracking performance will be improved by selecting proper features, using word segmentation system and using named entity recognition system.
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.
对中文文本挖掘中的词汇处理技术进行了较深入的探讨，提出了针对汉语语言特点的无词典分词算法。
The dealing technology of words in Chinese text mining is discussed, and an arithmetic of "no Dictionary Cutting word" is brought forward.
搜索引擎的技术涉及到自然语言理解、中文分词、人工智能、机器学习等学科。
Search engine technology related to natural language understanding, Chinese word segmentation, artificial intelligence, machine learning and so on.
中文分词是校园网搜索引擎项目的一个核心技术。
Word segment was a core technology of campus search engine project.
本文分析了中文分词、文本预处理和压缩、搜索引擎的原理、工作流程、查询处理流程等技术。
This thesis emphatically analyzed the content about Chinese participle, text pretreatment and compress, the principle of search engine, workflow, search handle process etc.
它是中文智能答疑系统的一项基本性技术，可以说，没有分词技术任何中文答疑系统都不具有智能性。
This paper mostly researches Chinese word segmentation, because it is a basal place in intelligent answering system.
然而中文分词不是为统计机器翻译而开发的技术，它的分词结果不能保证对统计机器翻译的优化。
However, CWS is not developed for SMT and hence its results are not necessarily optimal for SMT.
然而中文分词不是为统计机器翻译而开发的技术，它的分词结果不能保证对统计机器翻译的优化。
However, CWS is not developed for SMT and hence its results are not necessarily optimal for SMT.
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