Аннотация: В данной статье исследуется проблема семантики текстовой парадигмы как одного из активных вопросов языковой науки о тексте, рассматриваются семантические отношения и их роль в раскрытии тех смысловых связей, на основе которых можно отличать типы семантических отношений «синонимия, антонимия, полисемия», выдвигается положение о семантических отношен

التعددية السياسية بين الرفلض والقبول دراسة نظرية لأبرز الاتجاهات الاسلامية المعاصرة

Every era characterizes with its thought and life philosophy , where Muslims left behind them educational and intellectual heritage we should proud of it because it reflects the image of past and lights the way of present and future path where we should make use of it to fit with our statuesque and contemporary issues because we don’t know about it but little as result of ignorance or imitation of the western culture.

      It’s wrong to regard heritage from the past but aphasia of Islamic and Arab genies that its roots tracing back to past and extending to future .

      Islamic Arab educational thought regards one of the ric

Transportation Sector classified as one of the services sectors which is without the production activities cannot be complete its rule. Is act asmoving actions which operate at production and non production goals for the organization and individuals insides the country and with others, that is why this sector act as one of the main which is occupied an important status on the way the economic activities and on the level of the economic institutions the transportation work on transforming all the commodities and products from productions locations to consumption location then its effect the productivity process and create the location utility and on the level of economic it considered as one of the economic supportive structure an

      Computational linguistics is a modern branch of linguistics concerned with computer processing of natural languages. It makes computer as human brain simulate to human mind to understand language endoscopy and application.  It stems from the use of computers to create programs and information systems that help the user to solve linguistic issues such as translation, analysis, parsing, and others This research seeks to show the employability of Arabic grammar, especially the past tense of it, in the light of this theory The study made use of the computer program (Madamera) to apply its samples of past phrasal verbs,  In its methodology

يهدف هذا البحث إلي معرفة معنى اللغة وتجلياتها في نتاجات الاديب الإسرائيلي الأكثر جدلا في القرن العشرين، إلا وهو الاديب "موشيه سيملانسكي". فقد طغت صورة العربي في الكثير من أعماله الأدبية وتبوات مكانا واضحا، وكانت النظرة تجاهه، نظرة واضحة أيضا، فصورته لم تتغير بتغير الظروف والاتفاقيات، بشكل يتناسب وهذه الظروف، وإنما بقيت تراوح مكانها، ولم تتبدل بنظرة احترام على الأقل، بل على العكس من ذلك، فهناك بعض المطالبات

Araştırmamın adı: Türkçe'de –madan, -meden Ulaç Ekinin Yazılışı ve Kullanılışıdır.

      Ulaçlar, kişi ve zaman kavramı olmadan temel cümlenin yada yan cümlenin yüklemini niteleyen, cümlede genellikle zarf tümleci olarak görev yapan fiilimsilerdir. İkinci bir görevleri yardımcı fiillerle birlikte kullanılarak birleşik fiiller kurmak olan ulaçlar, cümlede bağlaç görevinde kullanılabilirler, ve birleşik cümleler kurabilirler. Bazı ulaç ekleri zarf, edat gibi kalıcı sözcük yapımında da kullanılırlar.

      Bu araştırmada Orhun Türkçesi'nde başlayıp Türkiye Türkçesine kadar uzanan tarihi dönemlere ait eserlerden –m

This paper proposes a better solution for EEG-based brain language signals classification, it is using machine learning and optimization algorithms. This project aims to replace the brain signal classification for language processing tasks by achieving the higher accuracy and speed process. Features extraction is performed using a modified Discrete Wavelet Transform (DWT) in this study which increases the capability of capturing signal characteristics appropriately by decomposing EEG signals into significant frequency components. A Gray Wolf Optimization (GWO) algorithm method is applied to improve the results and select the optimal features which achieves more accurate results by selecting impactful features with maximum relevance

Currently, one of the topical areas of application of machine learning methods is the prediction of material characteristics. The aim of this work is to develop machine learning models for determining the rheological properties of polymers from experimental stress relaxation curves. The paper presents an overview of the main directions of metaheuristic approaches (local search, evolutionary algorithms) to solving combinatorial optimization problems. Metaheuristic algorithms for solving some important combinatorial optimization problems are described, with special emphasis on the construction of decision trees. A comparative analysis of algorithms for solving the regression problem in CatBoost Regressor has been carried out. The object of