基于CLEC语料库的中国学习者错误分析

这篇文章运用错误分析理论和语料库检索方法，使用“中国英语学习者语料库”（CLEC），将语料库中380篇四级作文作为研究主体，主要分析学生写作中名词误用、动词误用及动／名搭配错误及产生错误的原因，并给出了对于中国英语作为第二语言教学实践的一些启示。     

大学英语写作中词汇错误实证调查研究报告

以60名非英语专业学生的作文为样本,通过统计分析作文中出现的词汇错误,试图解决三个问题:(1)确认学生在写作中所犯词汇错误类型及比例;(2)分析主要错误来源;(3)评估词汇错误的严重程度。结果表明,学生的词汇错误主要集中在词义混淆和词汇搭配。因此,笔者建议在教学中尝试利用语料库以及词汇法教学等手段,提高学生在写作中英语词汇运用的准确性与流利性。     

语料库在大学英语写作教学中的应用初探

语料库在大学英语写作教学中的作用有待发掘。英语教师可利用目前语料库的研究成果和分析手段来总结学生作文中存在的突出问题。以大学生的英语书面语语体特征为例,对比中介语的研究给我们提供了分析语料的多个角度,运用现有的理论,本文尝试考察了一次论说文写作训练的语料,初步探讨如何应用语料库辅助大学英语写作教学。     

PowerGREP在大学英语写作对比分析中的实践与总结

语料库已经成为语言研究中默认的数据源。运用PatternBuilder辅助编写正则表达式对一、二年级学生的作文进行词性赋码,通过PowerGREP对比分析其中的完成时、被动语态、进行时及It＋be＋adj.＋that常用表达式的使用情况。提出将教学与语料库语言学前沿成果相结合,教师分析预处理与学生自主学习相结合,作文布置形式多样化与讲评权重相结合。     

语料库应用于独立学院大学英语写作教学

本文通过问卷调查、模拟写作和语料库语言学的应用，对独立学院学生作文的错误进行分析，研究独立学院大学英语写作水平。语料库大量真实的语言材料有助于学生在学习中不断调整自己的语言，写出地道的作文。检索软件的使用能够增强学习者的语言意识，增强对语言的敏感性，提高英语写作水平。     

口语和笔语语域特征与二语写作质量关系研究

口语语域特征和笔语语域特征是应用语言学界关注的焦点之一。笔语语域特征主要表现在正式性、显现性、计划性、分离性和整合性;口语语域特征主要表现在片段性、非正式性、含蓄性、盲目性和参与性。该文通过对自建小型语料库——西安交通大学工科非英语专业研究生一年级2个班学生议论文的研究,分析口语语域特征和笔语语域特征的分布情况,分别探究口笔语语域特征中最突出的特征群;并进一步将自建语料库分成2个子库,高分组作文语料库和低分组作文语料库,检索口笔语语域特征在这2个子库中的分布情况,从而进一步揭示口笔语语域特征和学生写作质量的关系。该文的研究结果可为大学英语写作教学提供有益借鉴,促使教师在写作教学中关注口笔语语域特征,培养学生的语域意识,提高学生的写作能力。     

二语写作教学中限时作文训练的有效性研究

本项研究运用问卷、访谈等方法调查91名英语专业三年级学生对二语写作教学中限时作文训练的心理倾向,并计算了9名学生学期末和开学初限时作文的得分差。结果表明,将限时作文和不限时作文结合能增强学生写限时作文的兴趣和在考试环境下写作的信心,提高他们的限时作文能力。     

激发学生写作兴趣 提高作文教学效果

激发学生写作兴趣是提高作文教学效果的重要步骤。我们可以通过引导学生观察生活,激发学生阅读兴趣,让学生选择自己愿意写作的题目等手段激发学生的写作兴趣,同时运用写前老师下水朗读范文,学生集体谈论写作内容方法,范本仿写等手段降低学生写作的难度,激发写作兴趣,最后通过欣赏性评讲,激励性评讲的方式让学生享受到写作成功的喜悦以激发他们的写作兴趣,提高作文教学的效果。     

中国学习者英语写作中的虚化程度副词对比研究

基于中国学生万篇英语作文语料库TECCL,使用中介语对比分析(Contrastive Interlanguage Analysis)(CIA)的研究方法,分析中国学习者英语写作中虚化程度副词的使用特征,基于学习者语言文本分析中国的英语学习者虚化程度副词使用偏误。研究发现:中国的英语学习者未能掌握地道的目标语虚化程度副词的使用范式。构建基于语料库的英语写作教学模式,深化英语写作技巧、策略和方法,促进大学英语写作的教学改革。     

语料库在大学英语写作教学中的应用研究

语料库作为一种英语学习的信息化文本集,在教学的过程中可以当作一种计算机工具来使用。本文通过实验探讨,将参与者共162人分为2个自然班和2个实验班,分别采用普通的教学方法和语料库教学进行实验,探讨语料库在大学英语写作教学的应用效果。实验显示,学生在观察语料能够归纳和总结出写作技巧,使用语料资料有助于学生更好地运用学习工具进行学习。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.