流媒体课件中流式素材的制作

探讨了流媒体课件中流式素材的制作，主要论述了流式文本、流式音频和流式视频素材的制作方法与制作技巧。给出了具体的制作实例，分析了流化的过程和流式文件的有关属性。     

Jack in two boxes: A postmodern perspective on the transformation of persons into portraits

The paper explores issues surrounding portrayal in educational research and interrogates the notion of a life as a textual product, via an analysis of two short biographical narratives which happen to portray the same person — a British primary school head teacher nearing the end of his career. The discrepancies between these two texts point to the problematic nature of the relationship between person and portrait, and make visible some of the textual devices that writers/researchers use in order to achieve coherence and authenticity in biographical narratives.     

社会学批评的一种成功实践--王彬彬批评读解

当代著名批评家王彬彬往往以社会学批评方法从事批评实践活动，表现出三方面主要特色：儒宰的入世精神和浩然正气；对道德与人文精神的坚持和对现实的批判；学理性和文学性俱佳的文本形式。他取得了一定的成就，在当代文学批评中自成一家。     

影视字幕文本特征及其翻译策略

论文以当下流行美国影视作品为例,分析了影视字幕的文本特征,总结影视字幕文本的翻译技巧与策略,切实提高影视作品字幕翻译的效率,有效缩短了由语言差异性带来的文化距离.     

Improving the precision of the keyword-matching pornographic text filtering method using a hybrid model

With the flooding of pornographic information on the Internet, how to keep people away from that offensive information is becoming one of the most important research areas in network information security. Some applications which can block or filter such information are used. Approaches in those systems can be roughly classified into two kinds:metadata based and content based. With the development of distributed technologies, content based filtering technologies will play a more and more important role in filtering systems. Keyword matching is a content based method used widely in harmful text filtering. Experiments to evaluate the recall and precision of the method showed that the precision of the method is not satisfactory, though the recall of the method is rather high. According to the results, a new pornographic text filtering model based on reconfirming is put forward. Experiments showed that the model is practical, has less loss of recall than the single keyword matching method, and has higher precision.     

译者主体的创造性

译作为翻译活动的主体，应在翻译中发挥其能动参与和积极的创造性作用。本提出“衍生本”的概念，并从译创造性产生的前提、根源和具体实现方式这三个方面论证了译主体创造性的客观存在，认为只有正视这种创造性的客观存在并对其加以积极运用．才能正确地指导翻译活动的进行。     

Personalized learning in iSTART: Past modifications and future design

Abstract

Computer-based learning environments (CBLEs) provide unprecedented opportunities for personalized learning at scale. One such system, iSTART (Interactive Strategy Training for Active Reading and Thinking) is an adaptive, game-based tutoring system for reading comprehension. This paper describes how efforts to increase personalized learning have improved the system. It also provides results of a recent implementation of an adaptive logic that increases or decreases text difficulty based on students’ performance rather than presenting texts randomly. High school students who received adaptive text selection showed increased sense of learning. Adaptive text selection also resulted in greater pre-training to post-training comprehension test gains, especially for less-skilled readers. The findings demonstrate that system-driven, just-in-time support consistent with the goals of personalized learning benefit the efficacy of computer-based learning environments.     

基于文本挖掘和技术路线图的技术创新机会发现

本文在介绍文本挖掘和技术路线图研究情况的基础上，探讨如何将文本挖掘和技术路线图结合起来，通过挖掘隐含在科技信息中的知识和联系，并结合技术领域专家，绘制技术路线图，以帮助技术主管发现技术创新的机会。     

过刊全文数据库JSTOR及其特色分析

基于因特网的电子期刊的出版 ,过去比较多地集中在现刊上。但是近年来越来越多的出版商或专业人士意识到 ,实际上许多早年发表的学术论文并没有随着时间的推移而失去其使用价值 ,它们的“有效期”超过人们已有的估计。有统计表明 ,最常被引用的 10篇经济学论文 ,它们的发表时间平均距现在 15年以上 ;而最常被引用的数学论文的发表时间平均距现在 30年以上[1] 。基于这样的认识 ,开始有人把注意力放在学术性期刊过刊全文数据库的开发上 ,例如ElsevierScience出版公司的过刊文档项目(BackfileProject) ,就是要逐步将其出版的所有期刊全部电…     

A hybrid generative/discriminative approach to text classification with additional information

This paper presents a classifier for text data samples consisting of main text and additional components, such as Web pages and technical papers. We focus on multiclass and single-labeled text classification problems and design the classifier based on a hybrid composed of probabilistic generative and discriminative approaches. Our formulation considers individual component generative models and constructs the classifier by combining these trained models based on the maximum entropy principle. We use naive Bayes models as the component generative models for the main text and additional components such as titles, links, and authors, so that we can apply our formulation to document and Web page classification problems. Our experimental results for four test collections confirmed that our hybrid approach effectively combined main text and additional components and thus improved classification performance.