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MDBS是建立在多个LDBS之上的，这些LDBS存储了一些语义相关的数据。MDBS is built on many of LDBS, these LDBS stored a few data of semanteme relevances.

第三章从词义的角度出发，将同形词分为同形同义词和同形异义词。In the third chapter, identical words have been divided into synonymy and homograph from semanteme.

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汉语称呼语的语义多义性为双向关系中的称呼语选择提供了便利。The semanteme ambiguity of the address of Chinese has offered the convenience for the bidirectional relational in language choice.

在服务器端相应地建立这些参数的认知方法，进而实现基于语义认知的网络科技信息资源定位和导航。Correspondingly, the server is designed to cognize the parameters in order to locate and navigate the resources by semanteme cognition.

并且根据语义与知识结构的关系，提出了‘义息’概念及测度。And on the basis of the relationship between semanteme and knowledge structure, we advance the concept and the measure of ' seman-nows'.

请描述顾客、商店和服务员之间的“运营”的语义，并用E-R图表示。Invite the semanteme describing "being in motion and doing business" between the customer , shop and attendant, and indicate that with E-R picture.

从而很容易求出各种测度的估计——灰熵、灰信息、灰语义识别信息等及信源感知度。Thereby we can easily derive the estimates of measures-grey entropy, grey information, grey semanteme recognition information and degree of perception of information source.

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所以，研究面向内容和语义的多文种信息处理平台和多文种代码体系不仅具有现实的意义，也具有巨大的实用价值。Therefore, the research on the multilingual information processing platform which focused on content and semanteme not only has the practical values, but also has bright futures.

现代汉语性质词的义征分析，有助于解释词语组合的理据，可为进一步的语法研究和语义研究提供一些支持。Solicit analyzing, facilitate explaining the motivation that the word makes up in justice of nature word of modern Chinese, can offer some support for further grammar research and semanteme.

这类名词与量词的搭配是否合理，与各自的语义特点和名词内部的结构有关，有很强的双向选择性。It is rational that this kind of noun collocates with the measure word one, relate to structure within one's own semanteme characteristic and noun, there are very strong two-way alternatives.

同时还用比较分析的方法辨析了几组语义相近的否定性结构专用副词之间的细微差别。At the end of this part, by way of comparative analysis, the slight differences between several groups of adverbial words with special purpose in denying structures with close semanteme is presented.