A Corpus-Based Learning Method of Compound Noun Indexing Rules for Korean

In Korean information retrieval, compound nouns play an important role in improving precision in search experiments. There are two major approaches to compound noun indexing in Korean: statistical and linguistic. Each method, however, has its own shortcomings, such as limitations when indexing diverse types of compound nouns, over-generation of compound nouns, and data sparseness in training. In this paper, we propose a corpus-based learning method, which can index diverse types of compound nouns using rules automatically extracted from a large corpus. The automatic learning method is more portable and requires less human effort, although it exhibits a performance level similar to the manual-linguistic approach. We also present a new filtering method to solve the problems of compound noun over-generation and data sparseness.     

Measuring Search Engine Quality

The effectiveness of twenty public search engines is evaluated using TREC-inspired methods and a set of 54 queries taken from real Web search logs. The World Wide Web is taken as the test collection and a combination of crawler and text retrieval system is evaluated. The engines are compared on a range of measures derivable from binary relevance judgments of the first seven live results returned. Statistical testing reveals a significant difference between engines and high intercorrelations between measures. Surprisingly, given the dynamic nature of the Web and the time elapsed, there is also a high correlation between results of this study and a previous study by Gordon and Pathak. For nearly all engines, there is a gradual decline in precision at increasing cutoff after some initial fluctuation. Performance of the engines as a group is found to be inferior to the group of participants in the TREC-8 Large Web task, although the best engines approach the median of those systems. Shortcomings of current Web search evaluation methodology are identified and recommendations are made for future improvements. In particular, the present study and its predecessors deal with queries which are assumed to derive from a need to find a selection of documents relevant to a topic. By contrast, real Web search reflects a range of other information need types which require different judging and different measures.     

体育对创造性人格中非智力因素的培养

创造性人格中非智力因素对人的创造力的表现和发挥具有决定性意义。体育运动在培养人的创造性人格中非智力因素方面具有重要的作用．     

体育院系学生创新能力的研究

应用文献资料法、调查访问和专家调查法,探讨了体育院系学生创新能力构成,揭示了目前培养学生创新能力在体育院系教学中所面临的主要问题以及培养体育院系学生创新能力的途径和方法,并提出体育院系改革设想.     

体育多种预测方法的比较研究

摘要：运用相关回归、标准百分和多级多类判别理论，建立多元回归和单元回归预测模型，所建立的y1、y2、y3模型预测值准确度高，与实际专项成绩值的相关性显著、t检无差异、有显著的线性关系、tr检验呈高度相关。其中，y2模型预测值的准确度更高，建模方法更具简便性、实效性。     

体育技术课教学中的测量与评价

体育技术的教学,是以身体素质为基础,运动能力和大脑思维为主导的复杂过程.应该遵循人体生长发育的规律,采取因势利导的原则,运用体育测量的科学性和体育评价的方法指导体育技术的教学.     

优秀运动员运动寿命研究导论

竞技运动训练的终极目的就是使运动员获得最高的竞赛成绩,并尽可能长地保持运动员高水平的竞技能力.文章运用文献、问卷、访问等方法对优秀运动员的运动寿命进行了研究与分析,指出运动员的运动寿命是训练学因素、生物学因素和人文社会学因素三者整合的结果.     

军事体能训练的大脑机能能力和特征研究

采用测量实验法对大脑机能能力与军事体能训练评定体能等级的相关性进行研究，发现大脑机能能力和特征的稳定、均衡和灵活能提高体能评定水平。同时，不同大脑机能能力被试在体能训练的发展上存在明显的差异，即体能评定等级高大脑机能能力较强。     

多媒体辅助《宾馆英语》教学

多媒体以其直观、活泼、真实、有趣、内容丰富、信息量大的优势赢得学生青睐。本文探讨了多媒体在外语专业选修课《宾馆英语》教学中为学生提供的广阔学习空间。这些空间对培养学生的英语应用能力、求知能力以及创新能力起到积极的作用。     

普通高校网球选项课自主——合作教学模式实验研究

对普通高校网球课自主—合作教学模式进行了实验研究。研究结果如下:1)自主—合作教学模式与传统教学模式相比更有利于学生技能水平的提高;2)自主—合作教学模式在教学过程中发挥了学生的学习自主性,适应学生的个体差异,促进了学生之间的交往和社会性的提高,提高了体育教学质量;3)自主—合作教学模式提高了学生的学习兴趣,让学生充分的享受了运动的乐趣和积极的情感体验,促进了学生终身体育思想的形成。