Automatic extraction of bilingual word pairs using inductive chain learning in various languages     

Hiroshi Echizen-ya  Kenji Araki  Yoshio Momouchi 《Information processing & management》2006

In this paper, we propose a new learning method for extracting bilingual word pairs from parallel corpora in various languages. In cross-language information retrieval, the system must deal with various languages. Therefore, automatic extraction of bilingual word pairs from parallel corpora with various languages is important. However, previous works based on statistical methods are insufficient because of the sparse data problem. Our learning method automatically acquires rules, which are effective to solve the sparse data problem, only from parallel corpora without any prior preparation of a bilingual resource (e.g., a bilingual dictionary, a machine translation system). We call this learning method Inductive Chain Learning (ICL). Moreover, the system using ICL can extract bilingual word pairs even from bilingual sentence pairs for which the grammatical structures of the source language differ from the grammatical structures of the target language because the acquired rules have the information to cope with the different word orders of source language and target language in local parts of bilingual sentence pairs. Evaluation experiments demonstrated that the recalls of systems based on several statistical approaches were improved through the use of ICL.  相似文献   

基于MATLAB的电路参数影响的分析     

李京秀  李传峰 《洛阳工业高等专科学校学报》2004,14(1):43-45

电路元件参数的变化会导致电路中各电压及电流的变化，要确定所有的变化关系用手工计算往往比较困难。借助于MATLAB的矩阵运算不仅能获取这些变化关系，而且利用MATLAB的图形功能还能将这些变化关系用曲线描述出来，使其形象直观。  相似文献   

Effects of pairs of problems and examples on task performance and different types of cognitive load     

《Learning and Instruction》2014

In two studies, we investigated whether a recently developed psychometric instrument can differentiate intrinsic, extraneous, and germane cognitive load. Study I revealed a similar three-factor solution for language learning (n = 108) and a statistics lecture (n = 174), and statistics exam scores correlated negatively with the factors assumed to represent intrinsic and extraneous cognitive load during the lecture. In Study II, university freshmen who studied applications of Bayes' theorem in example–example (n = 18) or example–problem (n = 18) condition demonstrated better posttest performance than their peers who studied the applications in problem–example (n = 18) or problem–problem (n = 20) condition, and a slightly modified version of the aforementioned psychometric instrument could help researchers to differentiate intrinsic and extraneous cognitive load. The findings provide support for a recent reconceptualization of germane cognitive load as referring to the actual working memory resources devoted to dealing with intrinsic cognitive load.  相似文献   

第21届冬奥会花样滑冰双人滑述评     

王洪雷  赵金平 《冰雪运动》2011,33(4):10-15

以第21届温哥华冬奥会花样滑冰前5名双人滑选手为研究对象,通过短节目、自由滑的得分进行技术和节目内容的分析对比,评述选手胜负细化到缘由的动作分值、完成分值、等级分值以及各类技术分差的深层次,重现庞青/佟健锁定中国冬奥金牌、申雪/赵宏博实现我国冬奥金牌零的突破的过程,并以短节目、自由滑和总分的最高分将世界双人滑水平提高到新的层面,改变了冬奥会金牌归属的历史格局,以及金牌背后的思考,旨在为保持我国双人滑的团队优势提供借鉴、参考和支持。  相似文献   

花样滑冰双人滑抛跳技术特征     

刘巍  刘惠英 《冰雪运动》2010,32(3):22-25

抛跳技术是花样滑冰双人滑技术动作中最复杂、最难掌握的一项技术动作,它也是代表花样滑冰双人滑技术水平的重要标志,因此对花样滑冰双人滑抛跳技术的探讨和研究具有重要的现实意义。运用运动生物力学、运动学解析、数理统计、文献资料等方法,对花样滑冰双人滑抛跳动作进行技术指标测试和研究。结果表明：空停时间和空中水平位移在完成动作过程中起关键作用,水平速度和腾空高度对完成高难度抛跳动作有直接影响。腾空时间应在0.9s以上,空中水平位移应在8.8m以上,以保证在空中完成转体动作,水平速度应在4.5m/s以上,水平速度是提高旋转冲力和角速度的重要保证,只有努力提高水平速度才能获得足够的旋转冲力,完成优质量、高难度、多周数的跳跃动作。  相似文献   

屏蔽二进序列偶的构造     

黄丹芸 《鹭江职业大学学报》2014,(3):57-60

对屏蔽二进序列偶进行研究,证明了一类特殊的差集偶与最佳屏蔽二进序列偶是等价的,以及另一类特殊的差集偶与伪随机屏蔽二进序列偶是等价的;证明了几乎最佳屏蔽二进序列偶与一类特殊的可分差集偶之间的等价关系,为应用差集偶和可分差集偶构造屏蔽二进序列偶提供了理论依据。利用分圆类方法构造与最佳屏蔽二进序列偶等价的差集偶,得到几类最佳屏蔽二进序列偶。  相似文献   

新教师“师徒结对”培养模式的缺憾与对策     

叶金梅 《丽水学院学报》2014,(4):122-124

当下新教师"师徒结对"培养模式存在缺憾,如:行政安排的"单向选择"结对方式,单向传授的经验模式,缺乏激励的考核机制。为充分发挥"师徒结对"培养模式应有的作用,可采取如下对策:自主选择结对方式、打破一徒一师的师徒关系、建立平等的师徒关系、构建激励相容的评价机制。  相似文献   

MTGCN: A multi-task approach for node classification and link prediction in graph data     

《Information processing & management》2022,59(3):102902

Both node classification and link prediction are popular topics of supervised learning on the graph data, but previous works seldom integrate them together to capture their complementary information. In this paper, we propose a Multi-Task and Multi-Graph Convolutional Network (MTGCN) to jointly conduct node classification and link prediction in a unified framework. Specifically, MTGCN consists of multiple multi-task learning so that each multi-task learning learns the complementary information between node classification and link prediction. In particular, each multi-task learning uses different inputs to output representations of the graph data. Moreover, the parameters of one multi-task learning initialize the parameters of the other multi-task learning, so that the useful information in the former multi-task learning can be propagated to the other multi-task learning. As a result, the information is augmented to guarantee the quality of representations by exploring the complex constructure inherent in the graph data. Experimental results on six datasets show that our MTGCN outperforms the comparison methods in terms of both node classification and link prediction.  相似文献   

Node.js高效分布式实时应用研究   总被引：1，自引：0，他引：1  

刘生建  罗林  杜剑 《教育技术导刊》2014,13(12):25-28

Node.js应用平台的出现,为大数据实时应用提供了一个很好的可选技术方案。研究了分布式实时应用处理中任务的抢占式处理策略和双路由策略,并探讨了在Node.js平台上利用Redis或ZeroMQ技术实现高效可靠分布式实时应用的方法。  相似文献   

AMD异步加载引擎设计与实现     

陈南平 《教育技术导刊》2014,13(11):105-107

采用一种改进的核心算法实现AMD异步加载引擎,该算法相对于传统的算法具有更强的可扩展性和可维护性。同时,基于AMD的核心算法框架实现其基本类库,并对AMD规范的利弊进行了分析。  相似文献