一种基于语词的分词方法

提出了一种基于语词的分词系统 ,设计了相应的分词词典 .该分词词典支持词条首字Hash查找和标准的不限词条长度的二分查找算法 ,并应用于全文检索中 .结果分析表明 ,此分词系统无论是在检索速度上 ,还是在歧义处理上都有很大的改进     

汉英构词新趋势比较

随着社会的发展和文明的进步,语言中最活跃的部分——词汇也反映出这一变化。英语和汉语中新造词、仿造词、外来词这三种构词方式由来已久,但在最近一段时间内出现一些新的趋势。本文拟从这三方面就汉英构词新趋势进行探讨。     

秦汉时期避讳的发展与特点

避讳是一种古老的礼法制度.避讳制度在秦汉时期有了新的发展,避讳成为皇权专制的工具.在汉代,实行"同训代换",避讳的范围拓宽,如嫌名避讳、避皇族和外戚之讳等,而生者称讳是一个新的发展.     

IFO模型在数据库逻辑设计中的应用

反映信息系统的结构语义是数据库设计的主要目的之一。这一目的一般采用语义数据模型来达到。我们考察这一问题的逆问题:识别关系数据库模式中IFO结构。本文描述了将无语义的关系模式转换成IFO图的方法,同时给出了该方法的具体应用。     

汉语中"的"字短语右边界的识别

“的”字是现代汉语中的高频词．“的”字的作用主要是用来构成短语,我们称之为“的”字短语,它是现代汉语中最常见的短语．“的”字短语造成了汉语句子中丰富的层次和复杂的语义结构．汉语句子中很多的歧义结构也是由“的”字短语引起的．因此正确地分析“的”字短语的结构对于汉语句法分析和汉语理解是很重要的．要分析“的”字短语的语义结构必须首先识别出句子中的“的”字短语．当然,当“的”字以词的形式出现在句子中时,这个句子中就出现了一个“的”字短语．可是这个“的”字短语的右边界在那里呢？如何让计算机能够正确地识别出它的右边界呢？这个问题却迄今未见有文献涉及．该文对此进行了研究并提出了研究交提出了识别“的”字短语边界的算法．     

略论公务日本语

在日本商务界,人们尽管公务繁忙,使用的语言却十分讲究和规范。既不失礼仪又简洁明了,以便提高工作效率。所以,一个训练有素的业务人员应懂得电话传达法、电话呼叫方法、寒暄语的正确使用及同事之间、上下级之间的称呼方式和数据中数字的读出。     

A Framework of Semantic Information Representation in Distributed Environments

0 IntroductionOonft thhee gcloombaml uinnifcoartimoanti onentiwnofrraksst rhuacstu mread,et ahvea iglraebalte teox puasnesrisolarge number of autonomous data repositories ,however ,these repositories present different structures and semantics result fromthat distinct data sources may use different modeling methodsmaking very difficult to share and exchangeinformation.Recentlythere have been some works ,such as OntoBroker in Ref .[1] ansystemin Ref .[2] ,that focus on the umformrepresentation …     

Query through heterogeneous ontologies using association matrix

This paper introduces the definition and calculation of the association matrix between ontologies, h uses the association matrix to describe the relations between concepls ill different ontologics and uses concept vectors to represent queries; then computes the vectors with the association matrix in order to rewrite queries, This paper proposes a simple method of querying through heterogeneous Ontology using association matrix. This method is based on the correctness of approximate information filtering theory; and it is simple to be implemented and expected to run quite fast.     

Integrated semantic similarity model based on ontology

To solve the problem of the inadequacy of semantic processing in the intelligent question answering system. an integrated semantic similarity model which calculates the semantic similarity using the geometric distance and informarion content is presented in this paper. With the help of interrelationship between concepts, the information content ofconcepts and the strength of the edges in the ontology network. we can calculate the semantic similarity between two concepts and provide information for the further calculation of the semantic similarity between user‘s question and answers in knowlegdge base. The results of the experiments on the prototype have shown that the semantic problem in natural language processing can also be solved with the help of the knowledge and the abundant semantic information in ontology. More than 90% accuracy with less than 50 ms average searching time in the intelligent question answering prototype system based on ontology has been reached. The result is vety satisfied.     

A semantic retrieval method based on the fuzzy reasoning

This paper gives a semantic fuzzy retrieval method of multimedia object, discusses the principle of fuzzy semantic retrieval technique, presents a fuzzy reasoning mechanism based on the knowledge base, and designs the relevant reasoning algorithms. Researchful results have innovative significance. Foundation item: Supported by the Natural Science Foundation of Hubei Province(No. 200J157) Biography: Cao Jia-heng(1946-), male, Professor, research direction: multimedia software, artificial intelligence.