Computational Linguistics, Speech and Image Processing for Arabic Language

10.1142/10693 ◽  
2017 ◽  
Author(s):  
Neamat El Gayar ◽  
Ching Y Suen
Keyword(s):  
Image Processing ◽  
Computational Linguistics ◽  
Arabic Language

scholarly journals Digitization of the Arabic Language Between Reality and Expectations

2019 ◽  
Vol 8 (2S3) ◽  
pp. 1151-1158
Keyword(s):  
Computational Linguistics ◽  
Scientific Revolution ◽  
High Speed ◽  
Research Paper ◽  
Arabic Language ◽  
Technological Breakthrough ◽  
Language Programs ◽  
Linguistic Research ◽  
The World ◽  
Information And Technology

It is not hidden of anybody now what the world is going through a Technological breakthrough, In the light of a scientific revolution and information and technology is characterized by high speed and efficiency, , And there is no doubt that the Arabic language challenges the current and future multiple, which requires the advancement of reality to keep pace with the worlds of digitization, which affected all disciplines, so that This research paper aims at locating the factors behind the growing interest in the computerization of Arabic Language. It sheds light on the efforts exerted in founding this newly established branch of knowledge, identifies the obstacles facing its progress and puts forth the possible solutions for them. This paper shows forth the gradual stages of the development of the science of Computational Language in contemporary Arab Studies and the advancement of Arab linguistic research in the field of computational linguistics. It aims at proposing a constitutive project for the establishment of an Arab Computational Linguistics that follow a firm practical and theoretical methodology in applying computer sciences in solving the linguistic issues. Using the method of induction and descriptive. It introduces a proposal for the syllabus of computerization of the Arabic language as a newly introduced part of the Arabic language programs Universiti Sultan Zainal Abidin. Besides, the paper within hand calls for the introduction of a new specialization subordinate to the Department of Arabic Language under the rubric of ''Bachelor of Arabic language computerization ''. It also confirmed the necessity of deploying computer awareness among scholars of Arabic and encouraging universities to customize new courses based on the computerization of the Arabic language

A Study on Classical Texts in the Field of Computational Linguistics through Bibliometric Analysis

2021 ◽  
Vol 12 (3) ◽  
pp. 852-859
Author(s):  
Athira Najwa Zakaria Et.al
Keyword(s):  
Bibliometric Analysis ◽  
Computational Linguistics ◽  
Arabic Language ◽  
Future Research ◽  
Publication Type ◽  
Research Papers ◽  
Classical Text ◽  
Current Trends ◽  
Language And Literature ◽  
Search Numbers

Manuscripts or classic texts written by hand found in papers, barks, and rattans are relics of past generations. According to generated data, Springer Link publishes a total of 111,010 articles concerning classical texts from the year 2015 to 2019. The present bibliometric analysis focuses on three aspects, namely year of publication, type of document, and field of discipline. Data collection in schedules and visual scheduling display the current trends of classical text studies. Bibliometric analysis discovers that the utmost type of publication generated from the classical text neyword is “article” with 6,962,098 hits. The field of research which records the highest search frequency is “Physics” with 30,705, whereas, the field of “Linguistics” only records 1425. However, the analysis concentrates about research on the subdiscipline field of computational linguistics. The Language and Literature subdiscipline records the highest search numbers of 148. Through the bibliometric study, three prominent lexicons revealed from the field of linguistics closely related to classical texts are Language, Corpus, and the Arabic Language. The process of topic visualisation of research papers through a word cloud can reveal these three lexicons. In conclusion, bibliometric analysis related to the field of linguistics not only provides a clear view of current developments of global classical text studies, but it also predicts the future research potential of the field. 

scholarly journals Analogical Proportions: Why They Are Useful in AI

2021 ◽  
Author(s):  
Henri Prade ◽  
Gilles Richard
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Computational Linguistics ◽  
Analogical Reasoning ◽  
Formal Modeling ◽  
Preference Learning ◽  
Case Based Reasoning ◽  
Inference Mechanism ◽  
Formal Concepts ◽  
Case Based

This paper presents a survey of researches in analogical reasoning whose building block are analogical proportions which are statements of the form “a is to b as c is to d”. They have been developed in the last twenty years within an Artificial Intelligence perspective. After discussing their formal modeling with the associated inference mechanism, the paper reports the main results obtained in various AI domains ranging from computational linguistics to classification, including image processing, I.Q. tests, case based reasoning, preference learning, and formal concepts analysis. The last section discusses some new theoretical concerns, and the potential of analogical proportions in other areas such as argumentation, transfer learning, and XAI.

Particle Swarm Optimization in Bioinformatics, Image Processing, and Computational Linguistics

2021 ◽  
Vol 12 (4) ◽  
pp. 25-44
Author(s):  
Badal Soni ◽  
Satashree Roy ◽  
Shiv Warsi
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Particle Swarm Optimization ◽  
Digital Image Processing ◽  
Computational Linguistics ◽  
Digital Image ◽  
Focal Point ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Engineering Problems

Since its inception, particle swarm optimization and its improvement has been an active area of research, and the algorithm has found its application in multifarious domains such as highly constrained engineering problems as well as artificial intelligence. The focal point of this paper is to make the reader aware of the innumerable applications of particle swarm optimization, especially in the field of bioinformatics, digital image processing, and computational linguistics. This review work is designed to serve as a comprehensive look-up guide and to navigate through the algorithm's scope and application in recent times in the aforementioned fields.

scholarly journals Pierce Similarity Algorithm In Detection Of Jar Letter In Al-Quran As Basic Media For Learning Arabic Language Structure

2021 ◽  
Vol 4 (2) ◽  
pp. 413-321
Author(s):  
Miftahul Jannah ◽  
Adli Abdillah Nababan
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Research Method ◽  
Arabic Language ◽  
Training Process ◽  
Basic Reason ◽  
Language Structure ◽  
Similarity Algorithm ◽  
Similarity Method ◽  
Letter Pattern

Al-Quran is the basic reason someone should understand the rules of Arabic. One of the basic rules is knowing the jar type which we generally often encounter in Arabic, but we do not understand that this letter has its own duties and functions. In this study, samples of Jar letters were used as many as 7 jar letter patterns which are generally often encountered in the Al-Quran. The purpose of this research is to build a system that can recognize Jar letters using the Pierce Similarity method and performs the performance on the algorithm. The research method used is the theory of pattern recognition in image processing with 2 processes, namely the Training Process and the Testing Process. The value of each letter pattern obtained in the Training Process will be the weight benchmark for the Testing Process, so that we can measure the performance level of Algortima Pierce Similarity in detecting the Jar letter pattern. The results can vary for each letter pattern ranging from 60% to 80%.

scholarly journals Skew correction for mushaf Al-Quran: a review

2020 ◽  
Vol 17 (1) ◽  
pp. 516
Author(s):  
Salem Saleh Bafjaish ◽  
Mohd Sanusi Azmi ◽  
Mohammed Nasser Al-Mhiqani ◽  
Ahmed Abdalla Sheikh
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Image Analysis ◽  
Arabic Language ◽  
Major Difficulty ◽  
Skew Correction ◽  
The World

Skew correction have been studied a lot recently. However, the content of skew correction in these studies is considered less for Arabic scripts compared to other languages. Different scripts of Arabic language are used by people. Mushaf A-Quran is the book of Allah swt and used by many people around the world. Therefore, skew correction of the pages in Mushaf Al-Quran need to be studied carefully. However, during the process of scanning the pages of Mushaf Al-Quran and due to some other factors, skewed images are produced which will affect the holiness of the Mushaf Al-Quran. However, a major difficulty is the process of detecting the skew and correcting it within the page. Therefore, this paper aims to view the most used skew correction techniques for different scripts as cited in the literature. The findings can be used as a basis for researchers who are interested in image processing, image analysis, and computer vision.

Some comments about observations and image processing of comet 29P/Schwassmann-Wachmann 1

1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Harvard College ◽  
Oak Ridge ◽  
Large Scale Structures ◽  
Short Period Comet ◽  
Short Period ◽  
Scale Structures ◽  
Harvard College Observatory ◽  
Period Comet

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.

Analysis of the 9th November 1990 flare

2000 ◽  
Vol 179 ◽  
pp. 229-232
Author(s):  
Anita Joshi ◽  
Wahab Uddin
Keyword(s):  
Image Processing ◽  
Two Dimensional ◽  
Temporal Behaviour ◽  
Contour Maps ◽  
Dimensional Measurements ◽  
Processing Software ◽  
Image Processing Software

AbstractIn this paper we present complete two-dimensional measurements of the observed brightness of the 9th November 1990Hαflare, using a PDS microdensitometer scanner and image processing software MIDAS. The resulting isophotal contour maps, were used to describe morphological-cum-temporal behaviour of the flare and also the kernels of the flare. Correlation of theHαflare with SXR and MW radiations were also studied.

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