The development of information systems in recent years has contributed to various methods of gathering information to evaluate IS performance. The most common approach used to collect information is called the survey system. This method, however, suffers one major drawback. The decision makers consume considerable time to transform data from survey sheets to analytical programs. As such, this paper proposes a method called ‘survey algorithm based on R programming language’ or SABR, for data transformation from the survey sheets inside R environments by treating the arrangement of data as a relational format. R and Relational data format provide excellent opportunity to manage and analyse the accumulated data. Moreover, a survey syste

In this study, we have created a new Arabic dataset annotated according to Ekman’s basic emotions (Anger, Disgust, Fear, Happiness, Sadness and Surprise). This dataset is composed from Facebook posts written in the Iraqi dialect. We evaluated the quality of this dataset using four external judges which resulted in an average inter-annotation agreement of 0.751. Then we explored six different supervised machine learning methods to test the new dataset. We used Weka standard classifiers ZeroR, J48, Naïve Bayes, Multinomial Naïve Bayes for Text, and SMO. We also used a further compression-based classifier called PPM not included in Weka. Our study reveals that the PPM classifier significantly outperforms other classifiers such as SVM and N

THE PROBLEM OF TRANSLATING METAPHOR IN AN ARTISTIC TEXT (ON THE MATERIAL OF RUSSIAN AND ARABIC LANGUAGES)

Ser y Estar

زمانةوانة بونيادطةرة ئةمريكييةكان لة نيَوانى سالاَنى ( 1925 – 1945 ) بةتيَثةرِبووكات تيؤرى ( فؤنيم)يان ضةسثاند ،بةم جؤرة  زمانةوانةكان ئاراستةى كاريان بةرةو مؤرفؤلؤذى طؤرِى بؤية ماوةى نيَوان سالاَنى ( 1940 –1960 ) ليَكؤلَينةوةى مؤرفؤلؤذى بووة خالَى بنةرِةتى (1 ) . جيَى ئاماذةية كة ئةو كةم و كورتيانةى كة لة ثيَناسةى وشةدا دةركةوت هؤكاريَكى سةرةكى بوون بؤ ئةوةى بةدواى جيَطرةوةيةك بطةرِيَن ، كة ئةويش ضةمكى مؤرفيم بو

RESUMEN:

 Pretendemos hacer con este trabajo un breve recorrido sobre lo que han dicho algunos gramáticos de las construcciones condicionales, a la par señalaremos los criterios que los mismos establecen y siguen para diferenciar entre distintos tipos de estructuras condicionales o entre las construcciones que ellos entienden o consideran como tales y las que no, atendiendo fundamentalmente a dos criterios; formal y semántico-pragmático. El presente trabajo tiene como objetivo la clasificación y la descripción de las construcciones condicionales, demostrando que no todas las condicionales son hipotéticas ni todas las hipotéticas son condicionales.

Abstract

We intend to make this work

L'ouverture des frontières et la mondialisation des échanges,comme les projets de l'intégration font de la connaissance de langue un enjeu essentiel ,professionnel et culturel,pour le citoyen de demain.

L'Irak est un pays Anglophone où domine l'anglais,le français est considérée comme deuxième langue étrangère en Irak.

Notre mini-mémoire se compose de deux parties.Dans la première partie nous essayons d'examiner la place du français en Irak qui nous dirige à savoir pourquoi on apprend le français en Irak et qui l'apprend?Est –ce qu'il y a une coopération française?

Dans la deuxième partie nous examinons les problèmes du français en Ir

Özet

           Türkiye  türkçesinde ''Anlam bilimi (Semantik)'' tezin ana konusu ve dilin adlandırma ve sınıflandırma incelemesini ele alır. Türk dilbilimcilerine göre bu dilbilimlerin şubesine bir tanım sunar. Semantik, tarih bakımından başlanlangıcı, oluşunu ve geliştirmesini de inceleniyor.

        Bu konu ile ilgili yayınlanmış olan bazı tezlerin de alındı. Türk dilbilimcilerin görüşünu Mehmet Hengirmen, Konay Karaağaç, Sezai Güneş, Fuat Bozkurt ve Hüseyin Atay ve diğerlerdir.

        Bu tez anlam bilimi dalların özellikleri ve anlam değiştirmesi

    Text categorization refers to the process of grouping text or documents into classes or categories according to their content. Text categorization process consists of three phases which are: preprocessing, feature extraction and classification. In comparison to the English language, just few studies have been done to categorize and classify the Arabic language. For a variety of applications, such as text classification and clustering, Arabic text representation is a difficult task because Arabic language is noted for its richness, diversity, and complicated morphology. This paper presents a comprehensive analysis and a comparison for researchers in the last five years based on the dataset, year, algorithms and the accuracy th