نتایج جستجو برای: compared to arabic

تعداد نتایج: 10667374  

2005
Ahmad T. Al-Taani Noor Aldeen K. Al-Awad

In this study, a fuzzy similarity approach for Arabic web pages classification is presented. The approach uses a fuzzy term-category relation by manipulating membership degree for the training data and the degree value for a test web page. Six measures are used and compared in this study. These measures include: Einstein, Algebraic, Hamacher, MinMax, Special case fuzzy and Bounded Difference ap...

1999
Keiichi Tajima

Conventional rhythmic distinctions such as \stress-timing" vs. \syllable-timing" were investigated using a novel technique whereby speakers produced a phrase repeatedly along with a metronome. When stable rhythmic productions of phrases in Arabic, English, and Japanese were compared, Japanese speakers preferred to place the phrase-nal syllable at \simple harmonic phases", such as halfway betwee...

2017
Ibrahim S Alkhazi William J. Teahan

Text classification is the process of assigning a text or a document to various predefined classes or categories to reflect their contents. With the rapid growth of Arabic text on the Web, studies that address the problems of classification and segmentation of the Arabic language are limited compared to other languages, most of which implement word-based and feature extraction algorithms. This ...

Journal: :Cancer nursing 2018
Maaidah M Algamdi Sandra K Hanneman

BACKGROUND Valid and reliable instruments in Arabic are needed to measure self-efficacy and quality of life for Arabic patients with cancer. OBJECTIVE The aim of this study was to test the psychometric performance of the Cancer Behavior Inventory-Brief Arabic (CBI-BA), including participant understanding of items, and the Functional Assessment of Cancer Therapy-Breast Arabic (FACT-BA). METH...

2014
Aymen Abu-errub R. Guzmán-Cabrera M. Montes-y-Gómez P. Rosso A. H. Wahbeh T. Zaki D. Mammass A. Ennaji

Text categorization is the process of classifying documents into a predefined set of categories based on its contents of keywords. Text classification is an extended type of text categorization where the text is further categorized into sub-categories. Many algorithms have been proposed and implemented to solve the problem of English text categorization and classification. However, few studies ...

2016
Yousef Abosalem

This study was conducted to compare two gradeten mathematics textbooks according to Bloom’s Taxonomies. In the Arabic version, 37 out of 70 periods (55.29%) were given to plane geometry and trigonometry, whereas 29 out of 70 periods (41.41%) were allocated for geometry and trigonometry. Also, 12 periods (17.14%) were allocated for algebra in the Arabic version, whereas 19 periods (27.14%) in th...

Zinc is an essential mineral and accepted as a trace element in the animal nutrition and for its role in biological enzymatic pathways. This study aimed to investigate the effect of oral administration of zinc oxide nanoparticles (ZnONPs) on some of the antioxidant parameters of semen plasma, quantitative and qualitative properties of Arabic ram sperm in the non-breeding season. Twelve adult Ar...

Journal: :Egyptian Computer Science Journal 2008
Alaa El-Halees

This paper focuses on Automatic Arabic classifications. Arabic language is highly inflectional and derivational language which makes text mining a complex task. In classifying Arabic text, there are many published experimental results. Since these results came from different datasets, authors and evaluation metrics, we cannot compare the performance of the experimented classifiers. In this pape...

2017
Sabri Garoushi Mark I Johnson Osama A Tashani

In Libya neuropathic pain is rarely assessed in patients with diabetes. The Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) pain scale is used worldwide to screen for neuropathic pain. There is no Arabic version of LANSS for use in Libya. The aim of this study was to develop an Arabic version of LANSS and to assess its validity and reliability in diabetic patients in Benghazi, Libya....

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