Study of the influence of Arabic mother tongue on the English language using a hybrid artificial intelligence method

2021 ◽  
pp. 1-14
Author(s):  
Sami Mnasri ◽  
Manssour Habbash
Keyword(s):  
Artificial Intelligence ◽  
English Language ◽  
Mother Tongue ◽  
Hybrid Artificial Intelligence

FIRST AND SECOND LANGUAGE LEARNING THROUGH TEXTBOOKS IN ALBANIAN SCHOOLS (COMPARATIVE OVERVIEW OF ALBANIAN AND ENGLISH LANGUAGE TEXTBOOKS)

2018 ◽  
Vol 28 (7) ◽  
pp. 2319-2324
Author(s):  
Rina Muka ◽  
Irida Hoti
Keyword(s):  
Second Language ◽  
Foreign Language ◽  
Language Learning ◽  
Second Language Learning ◽  
English Language ◽  
Mother Tongue ◽  
First Language ◽  
Grammatical Knowledge ◽  
Level Of Education ◽  
The Third

The language acquired from the childhood is the language spoken in the family and in the place of living. This language is different from one pupil to another, because of their social, economical conditions. By starting the school the pupil faces first the ABC book and then in the second grade Albanian language learning through the Albanian language textbook. By learning Albanian language step by step focused on Reading, Writing, Speaking and Grammar the pupil is able to start learning the second language on the next years of schooling. So, the second language learning in Albanian schools is related to the first language learning (mother tongue), since the early years in primary school. In our schools, the second language (English, Italian) starts in the third grade of the elementary class. On the third grade isn’t taught grammar but the pupil is directed toward the correct usage of the language. The textbooks are structured in developing the pupil’s critical thinking. The textbooks are fully illustrated and with attractive and educative lessons adequate to the age of the pupils. This comparative study will reflect some important aspects of language learning in Albanian schools (focused on Albanian language - first language and English language - second language), grade 3-6. Our point of view in this paper will show not only the diversity of the themes, the lines and the sub-lines but also the level of language knowledge acquired at each level of education. First, the study will focus on some important issues in comparing Albanian and English language texts as well as those which make them different: chronology and topics retaken from one level of education to another, so by conception of linear and chronological order will be shown comparatively two learned languages (mother tongue and second language). By knowing and learning well mother tongue will be easier for the pupil the foreign language learning. The foreign language (as a learning curriculum) aims to provide students with the skills of using foreign language written and spoken to enable the literature to recognize the achievements of advanced world science and technology that are in the interest of developing our technique. Secondly, the study will be based on the extent of grammatical knowledge, their integration with 'Listening, Reading, Speaking and Writing' as well as the inclusion of language games and their role in language learning. The first and second language learning in Albanian schools (grade III-VI) is based on similar principles for the linearity and chronology of grammatical knowledge integrated with listening, reading, writing and speaking. The different structure of both books help the pupils integrate and use correctly both languages. In the end of the sixth grade, the pupils have good knowledge of mother tongue and the second language and are able to write and speak well both languages.

scholarly journals Application of Artificial Intelligence in COVID-19 Pandemic: Bibliometric Analysis

Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 441
Author(s):  
Md. Mohaimenul Islam ◽  
Tahmina Nasrin Poly ◽  
Belal Alsinglawi ◽  
Li-Fong Lin ◽  
Shuo-Chen Chien ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Bibliometric Analysis ◽  
English Language ◽  
R Package ◽  
Research Area ◽  
Republic Of China ◽  
Comprehensive Picture ◽  
The Usa ◽  
The Republic ◽  
Academy Of Sciences

The application of artificial intelligence (AI) to health has increased, including to COVID-19. This study aimed to provide a clear overview of COVID-19-related AI publication trends using longitudinal bibliometric analysis. A systematic literature search was conducted on the Web of Science for English language peer-reviewed articles related to AI application to COVID-19. A search strategy was developed to collect relevant articles and extracted bibliographic information (e.g., country, research area, sources, and author). VOSviewer (Leiden University) and Bibliometrix (R package) were used to visualize the co-occurrence networks of authors, sources, countries, institutions, global collaborations, citations, co-citations, and keywords. We included 729 research articles on the application of AI to COVID-19 published between 2020 and 2021. PLOS One (33/729, 4.52%), Chaos Solution Fractals (29/729, 3.97%), and Journal of Medical Internet Research (29/729, 3.97%) were the most common journals publishing these articles. The Republic of China (190/729, 26.06%), the USA (173/729, 23.73%), and India (92/729, 12.62%) were the most prolific countries of origin. The Huazhong University of Science and Technology, Wuhan University, and the Chinese Academy of Sciences were the most productive institutions. This is the first study to show a comprehensive picture of the global efforts to address COVID-19 using AI. The findings of this study also provide insights and research directions for academic researchers, policymakers, and healthcare practitioners who wish to collaborate in these domains in the future.

scholarly journals A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting

2021 ◽  
Author(s):  
Karim Sherif Mostafa Hassan Ibrahim ◽  
Yuk Feng Huang ◽  
Ali Najah Ahmed ◽  
Chai Hoon Koo ◽  
Ahmed El-Shafie
Keyword(s):  
Artificial Intelligence ◽  
Streamflow Forecasting ◽  
Hybrid Artificial Intelligence

Code-Switching and Code Mixing in the Selected Tracks of the Hip Hop Music of Flavour and 9ice

2021 ◽  
Vol 2 (3) ◽  
pp. 55-70
Author(s):  
Balogun Sarah ◽  
Murana Muniru Oladayo
Keyword(s):  
Hip Hop ◽  
English Language ◽  
Mother Tongue ◽  
First Language ◽  
Music Industry ◽  
Positive Influence ◽  
Code Switching ◽  
National Language ◽  
Code Mixing ◽  
Unique Identity

This article attempts a comparative analysis of code-switching and code-mixing in the Nigerian music industry, using the lyrics of Flavour and 9ice as a case study. Although the English language is the national language in Nigeria and the language used by most of the musicians for the composition of their songs, and due to the linguistic plurality of Nigeria, most of these musicians tend to lace their songs chunks of words and phrases from their mother tongue or at least one of the three major languages in Nigeria, which are Hausa, Igbo, and Yoruba. The Markedness Model by Myers-Scotton (1993) is used as the framework to interrogate the switching and mixing in the codes used by these selected musicians and we find that while most code-switching is done in three languages – English, Nigerian Pidgin and the artist’ first language (mother tongue)  – their mother tongue plays the prominent role. Code-switching or code-mixing in these songs, therefore, becomes a depiction of the Nigerian state with its diverse languages and it provides the links between the literates and the illiterates thereby giving the artiste the popularity desired. The study concludes that the unique identity created by code-switching and code-mixing in the Nigerian music industry has a positive influence on music lovers, helping artists to achieve wide patronage and reflecting the ethnolinguistic diversity of the Nigerian nation.

A hybrid artificial intelligence method to classify trichotillomania and obsessive compulsive disorder

2015 ◽  
Vol 161 ◽  
pp. 220-228 ◽  
Author(s):  
Turker Tekin Erguzel ◽  
Serhat Ozekes ◽  
Gokben Hizli Sayar ◽  
Oguz Tan ◽  
Nevzat Tarhan
Keyword(s):  
Artificial Intelligence ◽  
Obsessive Compulsive Disorder ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Hybrid Artificial Intelligence
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