From Arabic user-generated content to machine translation: integrating automatic error correction

With the wide spread of the social media and online forums, individual users have been able to actively participate in the generation of online content in different languages and dialects. Arabic is one of the fastest growing languages used on Internet, but dialects (like Egyptian and Saudi Arabian) have a big share of the Arabic online content. There are many differences between Dialectal Arabic and Modern Standard Arabic which cause many challenges for Machine Translation of informal Arabic language. In this paper, we investigate the use of Automatic Error Correction method to improve the quality of Arabic User-Generated texts and its automatic translation. Our experiments show that the new system with automatic correction module outperforms the baseline system by nearly 22.59% of relative improvement

Emotion Detection in Arabic Text using Machine Learning Methods

Abstract Emotions are essential to any or all languages and are notoriously challenging to grasp While numerous studies discussing the recognition of emotion in English Arabic emotion recognition research remains in its early stages The textual data with embedded emotions has increased considerably with the Internet and social networking platforms This study aims to tackle the challenging problem of emotion detection in Arabic text Recent studies found that dialect diversity and morpho- logical complexity in the Arabic language with the limited access of annotated training datasets for Arabic emotions pose the foremost significant challenges to Arabic emotion detection Social media is becoming a more popular kind of communication where users can share their thoughts and express emotions like joy sadness anger surprise hate fear so on some range of subjects in ways they d not typically neutralize person Social media also present different challenges which include spelling mistakes new slang and incorrect use of grammar The previous few years have seen a giant increase in interest in text emotion detectio

Socrative, Quizizz, and Google Form as Online-Based Evaluation Tools for Maharah Al-Qirā'ah Learning

The use of technology to innovate in learning methods and media has been widely carried out, including in the learning process of the Al-Qirā'ah Al-Asāsiyyah course at the Arabic Language Education Study Program at UIN Sunan Kalijaga Yogyakarta in the third semester. The purpose of this study is to describe students' perspectives on the advantages and challenges of using online-based evaluation tools: Socrative, Quizizz, and Google Form in the learning process at Al-Qirā'ah Al-Asāsiyyah courses. This study is a descriptive quantitative research that uses a questionnaire to collect data. This study revealed several advantages of using the online-based evaluation tools, such as being easy to use, effective, and can motivate students. Meanwhile, the challenges that must be faced are students must be connected to the internet network, the lack of variety in Arabic fonts, and the lack of variety in types of questions. Among the three types of evaluation tools offered, students prefer Quizizz over others

Utilization of the Zoom Application in Improving Arabic Speaking Skills (Mahārah Kālam) during the Covid-19 Pandemic/ Pemanfaatan Aplikasi Zoom dalam Meningkatkan Mahārah Kālam pada Masa Pandemi Covid 19

The COVID-19 outbreak arises problems in learning Arabic. Some instructors feel they spontaneously do not require the language environment (bi'ah lughawiyyah) in the teaching and learning process. This obviously has such a broad impact on the four language skills and one of the biggest challenges for them is that they could not teach Arabic speaking skills communicatively. This study aims to offer a considerable insight about the use of Zoom Cloud Meetings in improving Arabic speaking skills (mahārah kālam) during the pandemic. The study used qualitative descriptive methods and the data were collected through interviews and documentation. The data were analyzed using the theory of Miles and Huberman. Based on the review of results of interviews and documentation, Zoom Cloud Meeting is an effective way to improve students’ speech as it provides complete features so that communication between lecturers and students using Arabic can be established properly. To improve these skills, storytelling (taqdimul qisshah) and conversation (muhadatsah) are practiced. As a learning medium, Zoom certainly has advantages and disadvantages. The benefits of this media include having complete features, good access, large, flexible, and high capacity and supporting the teaching and learning process. While the drawbacks of using zoom application are the extra financial burden for internet quota, media restrictions, and having a strong internet connection. Abstrak Kehadiran virus Covid-19 memunculkan permasalahan dalam pembelajaran bahasa Arab. Beberapa pendidik merasa kehilangan bi’ah lughowiyyah pada proses belajar mengajar. Hal ini mengakibatkan empat keterampilan bahasa, khususnya keterampilan berbicara tidak dapat terealisaikan dengan maksimal. Artikel ini bertujuan untuk memberikan wawasan kepada pendidik tentang pemanfaatan Zoom Cloud Meeting dalam meningkatkan mahārah kālam pada masa pandemi. Pada penelitian ini penulis menggunakan metode kualitatif deskriptif, dengan metode pengumpulan data yaitu wawancara dan dokumentasi. Metode analisis data pada penelitian ini adalah teori Miles dan Huberman. Berdasarkan hasil wawancara dan dokumentasi, Zoom Cloud Meeting dinilai efektif dalam meningkatkan mahārah kālam mahasiswa. Hal ini dikarenakan Zoom menyediakan fitur-fitur yang lengkap, sehingga komunikasi antara dosen dan mahasiswa dengan menggunakan bahasa Arab dapat terlaksana dengan baik. Metode yang digunakan dalam meningkatkan mahārah kālam adalah metode taqdimul qisshah dan muhadatsah. Sebagai media pembelajaran, Zoom memiliki kelebihan dan kekurangan. Kelebihan dari media tersebut adalah tersedinya fitur-fitur yang lengkap dan mendukung proses belajar mengajar, kapasitas ruang yang besar, fleksibel, dan kapasitas akses yang tinggi. Sedangkan kekurangannya adalah borosnya kuota internet, pembatasan media dan harus terhubung dengan jaringan internet yang kuat

Readers reading practices of EFL Yemeni students: recommendations for the 21st century

This paper investigates the reading practices of forty-five second year EFL Yemeni undergraduate students using the Four Resources Model of multiliteracy practices. The Four Resources Model of multiliteracy practices organizes reading practices into four key practices: code breaking, text participating, text uses and text analysing levels. Quantitative and qualitative methods, designed based on the Four Resources Model constructs, were used to collect data from a sample of students studying English as a Foreign Language at a university in Yemen. Quantitative data was collected through a questionnaire, while qualitative data was gathered using semi-structured interviews guided by the research objectives. The findings reveal that Yemeni students were medium users of the code breaker and text user practices whereas the meaning making and text analysis practices were reported to be used in low usage. On the whole, these early findings suggest that the reading practices and reading abilities of the Yemeni students are still limited even at the tertiary level and have not developed fully with regard to reading in English. This paper reports in detail, the use of the Four Resources Model as a tool to determine reading efficacy while examining the aforementioned findings. Discussion is put forward on the implications for teaching of reading and its approaches in a Yemeni context, especially in view of the students‟ reading needs at the tertiary level in Yemen

KACST Arabic Text Classification Project: Overview and Preliminary Results

Electronically formatted Arabic free-texts can be found in abundance these days on the World Wide Web, often linked to commercial enterprises and/or government organizations. Vast tracts of knowledge and relations lie hidden within these texts, knowledge that can be exploited once the correct intelligent tools have been identified and applied. For example, text mining may help with text classification and categorization. Text classification aims to automatically assign text to a predefined category based on identifiable linguistic features. Such a process has different useful applications including, but not restricted to, E-Mail spam detection, web pages content filtering, and automatic message routing. In this paper an overview of King Abdulaziz City for Science and Technology (KACST) Arabic Text Classification Project will be illustrated along with some preliminary results. This project will contribute to the better understanding and elaboration of Arabic text classification techniques

The Experience of Teaching Statistics to Non-Specialist Students in Saudi Universities: The Role of Technology and Language

The importance of statistics is not limited to statisticians but also impacts on non-statisticians who have to use statistics. One important issue is how statistics is best taught to, and learned by, non-specialist students. The pervasive use of the English language causes additional challenges to learners whose first language is not English, especially when technological resources that use English language, such as statistics software packages, are an integral part of the course. This paper presents research into the current position in Saudi universities, where there has previously been a lack of research into this topic. Mixed methods research has been used: a questionnaire survey of 1,053 students and qualitative interviews with 16 teachers of statistics from all colleges within all six universities where statistics is taught to non-specialist students in Saudi Arabia’s Eastern Region. This presentation will discuss differences between the experiences of learners taught in the Arabic and English languages

Using Wiki to Build an E-learning System in Statistics in Arabic Language

E-learning plays an important role in education as it supports online education via computer networks and provides educational services by utilising information technologies. We present a case study describing the development of an Arabic language elearning course in statistics. Discussed are issues concerning e-learning in Arab countries with special focus on problems of the application of e-learning in the Arab world and the difficulties concerning the design Arabic platforms such as language problems, cultural and technical problems, especially ArabTeX works difficulty with LaTeX format. Thus Wiki is offered as a solution to such problems. Wiki supports LaTeX and other statistical programs, for instance R, and^Wiki offers the solution to language problems. Details of this technology are discussed and a solution as to how this system can serve in building an Arab platform is presented.E-Learning, MM*Stat, Wiki, ArabTeX, Statistical Software.