نتایج جستجو برای: arabic language for various social
تعداد نتایج: 10878009 فیلتر نتایج به سال:
This lively introduction to the linguistics of Arabic provides students with a concise overview of the language’s structure and its various components: its phonology, morphology, and syntax. Through exercises, discussion points, and assignments built into every chapter, the book presents the Arabic language in vivid and engaging terms, encouraging students to grasp the complexity of its linguis...
The main aim of this thesis is to build adaptive language models of Arabic text that can achieve the best compression performance over existing models. Prediction by partial matching (PPM) language models has been the best performing over the other adaptive language models through the past three decades in term of compression performance. In order to get such performance for Arabic text, the ri...
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 ...
In TREC-10 the Berkeley group participated only in the English-Arabic cross-language retrieval (CLIR) track. One Arabic monolingual run and four English-Arabic cross-language runs were submitted. Our approach to the cross-language retrieval was to translate the English topics into Arabic using online EnglishArabic bilingual dictionaries and machine translation software. The five official runs a...
The availability of corpora is a major factor in building natural language processing applications. However, the costs of acquiring corpora can prevent some researchers from going further in their endeavours. The ease of access to freely available corpora is urgent needed in the NLP research community especially for language such as Arabic. Currently, there is not easy was to access to a compre...
The NEMLAR project is a European Commission supported project with partners from the EU and from Arabic speaking countries in the Mediterranean region. The project aims at surveying the stat-of-the artof language resources and tools for Arabic in the region, at developing a BLARK definition for Arabic, and at starting development of language resources or updating of existing language resources....
Social media constitutes a major component of Web 2.0 and includes social networks, blogs, forum discussions, micro-blogs, etc. Users of social media generate a huge volume of reviews and comments on a daily basis. These reviews and comments reflect the opinions of users about different issues, such as: products, news, entertainments, or sports. Therefore different establishments may need to an...
this study investigated the effects of planning on second-language written production with regard to task type. the participants were 75 iranian learners of english as a foreign language attending a private foreign language institution. they were asked to complete two different types of writing tasks (expository writing task and argumentative writing task) in different planned conditions (indiv...
The advent and rapid proliferation of internet communication has allowed the realization of numerous security issues. The anonymous nature of online mediums such as email, web sites, and forums provides an attractive communication method for criminal activity. Increased globalization and the boundless nature of the internet have further amplified these concerns due to the addition of a multilin...
In order to construct a generic grammatical resource for Arabic language, we have chosen to develop an Arabic grammar based on TAG formalism. Our choice is, especially, justified by complementarities that we have noticed between Arabic syntax and this grammatical formalism. This paper consists of two comparative studies. The first is between a set of unification grammars. The second is between ...
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