1) semantic linking item
语义联项
1.
The orientation of Bu is somewhat flexible, for it often correlates with the semantic linking item in order to be fixed.
"不"的语义指向有一定的灵活性,它的确定往往需要语义联项的共同参与。
2) sense-word
义项词语
1.
Only under the knowledge database of sense-words, this method formulates the sense-words and polysemous words in vector space, and based on k-NN (k=1) it calculates the similarity between them to disambiguate polysemous words.
在仅需义项词语知识库的支持下,将待消歧多义词与义项词语映射到向量空间中,基于k-NN(k=1)方法,计算二者相似度来实现词义消歧任务。
3) semantic parameter
语义参项
1.
This thesis quotes semantic parameters of causative constructions listed byDixon (2000), investigates three of Chinese causative constructions:" 使 "construction,"让"construction and " 叫 " construction mainly, analyses cause the causative gradeof these three kinds, and concludes that the causative grade of " 使" construction arehigher than "让" construction and "叫" construction.
本文主要引用Dixon(2000)所列的语义参项,考察了汉语三种致使句“使”字句、“让”字句和“叫”字句,并对这三种致使句进行致使性等级分析,认为“使”字句的致使性等级高于“让”字句和“叫”字句。
4) coupling semantics
联结语义
1.
Conceptual structure modelling method based on coupling semantics;
基于联结语义的概念结构建模方法研究
5) semantic correlation
语义关联
1.
Semantic Correlation Based Text Clustering Approaches;
基于语义关联的文本聚类方法
2.
By using Ontology+OWL technology to describe Web services, the authors have presented the grid service matching principle based on semantic correlation and its simple algorithm under the foundation of the expansion service description.
利用本体(Ontology)+OWL技术对Web服务进行描述,在扩展服务描述的基础上,给出了基于语义关联度的网格服务匹配原理及其简单算法。
6) semantic association
语义关联
1.
Improvement of semantic association algorithms based on semantic tree
基于语义树的语义关联度算法改进
2.
A Chinese language input form based on keyboard combination of words and sentences is proposed, using word collocation, semantic association, fixed collocation and sentence patterns in the recognition of homophonic words.
采用词和句相结合的方式输入汉语的拼音码 ,采用词法规则、句法模式及语义关联等方法区分同音词 。
3.
A query refinement scheme,which synthesizes the synonymic relation and the semantic association,is presented.
通过对查询关键字词法特性和本体实例之间语义关联强弱的分析,提高了查询关键字到本体概念映射的完整性和准确率,帮助搜索引擎对用户的意图做出有效推测,解决了传统搜索引擎不能很好理解用户意图的问题。
补充资料：联项
性质判断中用来联结主项和谓项的概念。一般用“是”或“不是”来表示。有时可以省略，如“金属能导电”就省略了联项。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条