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Deep ensemble transfer learning framework for COVID-19 Arabic text identification via deep active learning and text data augmentation
Since the declaration of COVID-19 as an epidemic by the World Health Organization in September 2019, the task of monitoring and managing the spread...
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Arabic text detection: a survey of recent progress challenges and opportunities
The Arabic language plays a crucial role in the world after becoming the sixth official language of the United Nations (UN). In the last ten years,...
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A transformer-based approach for Arabic offline handwritten text recognition
Handwriting recognition is a challenging and critical problem in the fields of pattern recognition and machine learning, with applications spanning a...
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A robust classification approach to enhance clinic identification from Arabic health text
Text classification has critical applications, including healthcare, where it can assist patients in locating specialized clinics based on their...
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Comparative analysis of Deep Learning and Machine Learning algorithms for emoji prediction from Arabic text
Emojis have become a crucial part of text-based communication in recent years, especially on social media and messaging services. As a result, emoji...
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An augmented reality for an arabic text reading and visualization assistant for the visually impaired
Text, as one of humanity’s most influential innovations, has played an important role in sha** our lives. Reading a text is a difficult task due to...
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A two-stage framework for Arabic social media text misinformation detection combining data augmentation and AraBERT
Misinformation can profoundly impact the reputation of an entity, and eliminating its spread has become a critical concern across various...
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An enrichment multi-layer Arabic text classification model based on siblings patterns extraction
Ontologies extraction is the cornerstone for a meaningful knowledge representation. Ontologies represent the semantic relations repository in a...
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Evaluating Various Tokenizers for Arabic Text Classification
The first step in any NLP pipeline is to split the text into individual tokens. The most obvious and straightforward approach is to use words as...
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Improving the Polarity of Text through word2vec Embedding for Primary Classical Arabic Sentiment Analysis
Over the past decade, Sentiment analysis has attracted significant researcher attention. Despite a huge number of studies in this field, Sentiment...
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Sport-fanaticism lexicons for sentiment analysis in Arabic social text
Sport-fanaticism is one of the social problems. Studying this problem in social network sites such as Twitter becomes important where social sites...
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CNN-BLSTM Model for Arabic Text Recognition in Unconstrained Captured Identity Documents
Optical Character Recognition (OCR) for Arabic text (printed and handwritten) has been widely studied by researchers in the last two decades. Some...
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Improved linear density technique for segmentation in Arabic handwritten text recognition
The challenge in handwriting recognition, especially in the segmentation process, took the researchers’ attention. These Arabic handwritten text...
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Regulating Kashida Arabic steganography to improve security and capacity performance
This research work proposed a system that improves Arabic text steganography. The paper’s primary goal is to advance confidentiality and capacity, as...
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Challenges and opportunities for Arabic CAPTCHAs
Arabic Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) has only recently gained attention, with a few studies on...
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ArQuAD: An Expert-Annotated Arabic Machine Reading Comprehension Dataset
Machine Reading Comprehension (MRC) is a task that enables machines to mirror key cognitive processes involving reading, comprehending a text...
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Arabic sentiment analysis of Monkeypox using deep neural network and optimized hyperparameters of machine learning algorithms
Sentiment analysis, a branch of natural language processing (NLP), has gained significant attention for its applications in various domains. This...
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Speaker independent recognition of low-resourced multilingual Arabic spoken words through hybrid fusion
This article introduces a supervised strategy designed to enhance spoken word recognition within the constraints of a resource-limited multilingual...
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A real-time Arabic avatar for deaf–mute community using attention mechanism
Speech-impaired people use Sign Language (SL), an efficient natural form of communication, all over the world. This paper aims to use deep learning...
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Error Analysis of Pretrained Language Models (PLMs) in English-to-Arabic Machine Translation
Advances in neural machine translation utilizing pretrained language models (PLMs) have shown promise in improving the translation quality between...
