Corpus linguistics is a methodology in studying language through corpus-based research. It differs from a traditional approach in studying a language (prescriptive approach) in its insistence on the systematic study of authentic examples of language in use (descriptive approach).A “corpus” is a large body of machine-readable structurally collected naturally occurring linguistic data, either written texts or a transcription of recorded speech, which can be used as a starting-point of linguistic description or as a means of verifying hypotheses about a language. In the past decade, interest has grown tremendously in the use of language corpora for language education. The ways in which corpora have been employed in language pedagogy can be divided into two main categories: indirect and direct application. In the former corpora are used in designing and developing the syllabuses, dictionaries, tests, and teaching materials, while later, corpus data are used for data-driven learning and what is known as grammar safari. So this research aims at employing corpus data in teaching Arabic grammar. Functional syntactic analysis of corpus is a must for this purpose, so Quranic corpus is the most appropriate one. In this paper,I examined the specification phenomenon (التمييز) in Quranic corpus and compared the descriptive and prescriptive approaches in teaching causative object as a grammatical phenomenon in Arabic.
Different ANN architectures of MLP have been trained by BP and used to analyze Landsat TM images. Two different approaches have been applied for training: an ordinary approach (for one hidden layer M-H1-L & two hidden layers M-H1-H2-L) and one-against-all strategy (for one hidden layer (M-H1-1)xL, & two hidden layers (M-H1-H2-1)xL). Classification accuracy up to 90% has been achieved using one-against-all strategy with two hidden layers architecture. The performance of one-against-all approach is slightly better than the ordinary approach
Big data analysis is essential for modern applications in areas such as healthcare, assistive technology, intelligent transportation, environment and climate monitoring. Traditional algorithms in data mining and machine learning do not scale well with data size. Mining and learning from big data need time and memory efficient techniques, albeit the cost of possible loss in accuracy. We have developed a data aggregation structure to summarize data with large number of instances and data generated from multiple data sources. Data are aggregated at multiple resolutions and resolution provides a trade-off between efficiency and accuracy. The structure is built once, updated incrementally, and serves as a common data input for multiple mining an
... Show MoreThis research is under the title (Construction Grammar in the Kurdish language), which in turn is an attempt to present grammar and Kurdish grammar from the perspective of the constructive of Cognitive Linguistics. The construction as a term in the Kurdish language base was not recent, as it was discussed in other schools in a specific way from the perspective of language schools, but the subject of construction with a perceived background includes specific purposes, which is how to build the linguistic base by being a template accessible to its speakers, and in the cases of speaking it, not to mention how it is perceived and the level it is familiar with by its speakers. The nominal purpose of the Construction is Unification of form-mea
... Show MoreThe key objective of the study is to understand the best processes that are currently used in managing talent in Australian higher education (AHE) and design a quantitative measurement of talent management processes (TMPs) for the higher education (HE) sector.
The three qualitative multi-method studies that are commonly used in empirical studies, namely, brainstorming, focus group discussions and semi-structured individual interviews were considered. Twenty
A mathematical method with a new algorithm with the aid of Matlab language is proposed to compute the linear equivalence (or the recursion length) of the pseudo-random key-stream periodic sequences using Fourier transform. The proposed method enables the computation of the linear equivalence to determine the degree of the complexity of any binary or real periodic sequences produced from linear or nonlinear key-stream generators. The procedure can be used with comparatively greater computational ease and efficiency. The results of this algorithm are compared with Berlekamp-Massey (BM) method and good results are obtained where the results of the Fourier transform are more accurate than those of (BM) method for computing the linear equivalenc
... Show Moreمجتمع مدني ام مجتمع اهلي ؟ دراسة لواقع المجتمع المدني في البلدان العربية
the financial resources represent a basic factor of production ;It is obvious that the housing sector needs the resources to finance the building operation to produce all the housing units. Finance is the cornerstone of any housing strategy , as its successes dependent on the success of the financing methods and the creation of charnels and effective methods for the provision of the required finances for both individuals and instantly concerned with the production of housing units. The kinds of financial institutions vary from one country to another according to the nature of the economic and financial system. The lending conditions also vary as well as the capital cost of the housing units needed The housing operations is concer
... Show MoreThe field of translation studies is full of different types of social, economic, political, and literary translations as well as other types related to the life of the human being which are several, but the translation of the grammatical aspects is considered one of the important tasks that both of the translator and interpreter have to take in consideration, so as to get an translation so perfect and so correct as much as possible. One of the grammatical aspects that we have to know how to be translated correctly is the relative pronouns. And it’s about the relative pronouns translation from Spanish to Arabic turns my research work.
In this research, I will consider how to be translated the relat
... Show MoreSecure storage of confidential medical information is critical to healthcare organizations seeking to protect patient's privacy and comply with regulatory requirements. This paper presents a new scheme for secure storage of medical data using Chaskey cryptography and blockchain technology. The system uses Chaskey encryption to ensure integrity and confidentiality of medical data, blockchain technology to provide a scalable and decentralized storage solution. The system also uses Bflow segmentation and vertical segmentation technologies to enhance scalability and manage the stored data. In addition, the system uses smart contracts to enforce access control policies and other security measures. The description of the system detailing and p
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