浅析语境对词义的制约作用

本文运用词义与语境的相关理论,将语境与词义相结合,具体分析了语境的含义以及语境对词义的制约作用.通过分析、研究,得出以下结论：语境使词汇的意义单一化和具体化.在交际信息传递的过程中,语境因素影响词义的理解;词汇的意义离不开语境,一旦它离开特定的语境,信息就无法准确的传达.在学习过程中,我们要加强语境意识,充分利用语言语境,情景语境和文化语境,准确地把握词义.     

C#操作Word实现邮件合并的研究

分析了当前自动化办公对邮件合并功能的需求及手工进行邮件合并的不足,深入研究了Word的高级功能＂邮件合并＂及C#操作邮件合并,提出了用C#程序控制Word进行邮件合并的解决方法,并实现了用Microsoft Visual C#.NET语言编程控制Microsoft Word自动实现邮件合并,生成录取通知书。     

The developing mental lexicon: evidence from morphological priming of irregular Hebrew forms

This study investigated the development of automatic word recognition processes, in particular the development of the morphological level of processing. We examined masked priming of Hebrew irregular forms at two levels of reading experience. Both third- and seventh-grade children showed morphological priming for defective roots when primes and targets conformed to the canonical morphological structure, containing all three letters of the roots, and also when the surface form of the primes and targets contained only two of the root letters. However, priming was not observed when primes and targets did not overlap in the surface form of the roots, i.e. the full three-letter root as prime and only two root letters in the target. These results suggest that both tri- and bi-consonantal representations of defective roots exist in the mental lexicon of young readers. The formation of interconnections between these allomorphic representations, however, requires more extensive reading experience.     

浅谈CorelDRAW中表格的绘制

文章介绍了在CorelDRAW中绘制表格的步骤和操作方法,并用实例加以说明。     

Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis

Topic evolution has been described by many approaches from a macro level to a detail level, by extracting topic dynamics from text in literature and other media types. However, why the evolution happens is less studied. In this paper, we focus on whether and how the keyword semantics can invoke or affect the topic evolution. We assume that the semantic relatedness among the keywords can affect topic popularity during literature surveying and citing process, thus invoking evolution. However, the assumption is needed to be confirmed in an approach that fully considers the semantic interactions among topics. Traditional topic evolution analyses in scientometric domains cannot provide such support because of using limited semantic meanings. To address this problem, we apply the Google Word2Vec, a deep learning language model, to enhance the keywords with more complete semantic information. We further develop the semantic space as an urban geographic space. We analyze the topic evolution geographically using the measures of spatial autocorrelation, as if keywords are the changing lands in an evolving city. The keyword citations (keyword citation counts one when the paper containing this keyword obtains a citation) are used as an indicator of keyword popularity. Using the bibliographical datasets of the geographical natural hazard field, experimental results demonstrate that in some local areas, the popularity of keywords is affecting that of the surrounding keywords. However, there are no significant impacts on the evolution of all keywords. The spatial autocorrelation analysis identifies the interaction patterns (including High-High leading, High-Low suppressing) among the keywords in local areas. This approach can be regarded as an analyzing framework borrowed from geospatial modeling. Moreover, the prediction results in local areas are demonstrated to be more accurate if considering the spatial autocorrelations.     

高校教学管理信息系统的研究与设计

本文主要介绍了在Windows环境下采用Delphi6.0和SQL Server 2000开发工具开发的一个教务管理系统。该系统是一个采用Client/Server技术开发的、面向学校各部门以及各层次用户的多模块综合信息管理系统。     

The semantic mapping of words and co-words in contexts

Meaning can be generated when information is related at a systemic level. Such a system can be an observer, but also a discourse, for example, operationalized as a set of documents. The measurement of semantics as similarity in patterns (correlations) and latent variables (factor analysis) has been enhanced by computer techniques and the use of statistics; for example, in “latent semantic analysis”. This communication provides an introduction, an example, pointers to relevant software, and summarizes the choices that can be made by the analyst. Visualization (“semantic mapping”) is thus made more accessible.     

对中国男篮在第27届奥运会、第14届世界男篮锦标赛比赛中得分能力的研究

通过第27届奥运会、第14届世界男篮锦标赛中国男篮参加比赛的技术统计，对中国男篮得分能力与对方进行了对比与研究。中国男篮在世界级的大赛中得分能力提高不大，进攻投篮次数较少，表现为比赛中得分与进攻绩效较低、进攻速度与对手有拉大的趋势、在进攻技术运用的准确性上有退化的迹象。     

《方言调查字表》入声字在普通话中的分派情况

入声字是上古音在方言中的遗留。作对《方言调查字表》中入声字的分派情况做了穷尽性的统计，总结了入声字在普通话中的分派规律，通过研究，发现《方言调查字表》中的入声字没有现在普通话中属鼻韵母的字等。此项研究对于掌握普通话具有一定的借鉴和指导意义。     

《老子》五千言：商鞅新政的谤文

在楚简研究中 ,有论者认为 ,二千言简本《老子》出自老聃 ,五千言《老子》则出自太史儋。太史儋入秦为公元前 35 0年 ,正值商鞅变法十年前后 ,五千言悉数采用二千言并加以改铸 ,实际为反变法而造。其不朽的哲学价值 ,在它原创性的“道生一”图式 ,这相对独立于其政治取向。此后 ,在秦的韩非和吕不韦从相反立场利用了它 ,前者使它代替二千言而一枝独秀