Results 71 to 80 of about 1,363 (163)
Applied SciencesArabic natural language processing (NLP) faces major difficulties due to the language’s rich morphological structure and the scarcity of high-quality datasets, especially for educational material distributed across diverse online platforms. Many existing
Afyaa Atyan Alkhamisi +2 more
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مجلة النور للدراسات الانسانيةArtificial intelligence (AI), in recent years, has become a very real tool that can aid society in addressing many issues, including the challenges faced in the translation.
Ayad Enad Khalaf Ayad Enad Khalaf +1 more
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AraFinNLP 2024: The First Arabic Financial NLP Shared Task
Proceedings of The Second Arabic Natural Language Processing ConferenceThe expanding financial markets of the Arab world require sophisticated Arabic NLP tools. To address this need within the banking domain, the Arabic Financial NLP (AraFinNLP) shared task proposes two subtasks: (i) Multi-dialect Intent Detection and (ii) Cross-dialect Translation and Intent Preservation.
Sanad Malaysha +7 more
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AlgorithmsSentiment analysis utilizes Natural Language Processing (NLP) techniques to extract opinions from text, which is critical for businesses looking to refine strategies and better understand customer feedback.
Hani Almaqtari +2 more
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AlsinatunaThis research addresses the challenge faced by non-native speakers in mastering Arabic listening skills. The primary purpose of this study is to explore the effectiveness of Artificial Intelligence (AI)-driven text-to-speech (TTS) technology, leveraging ...
Dedi Mulyanto +3 more
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Natural language processing-based model for detecting cyberbullying on Arabic social media
Egyptian Informatics JournalCyberbullying is a widespread issue on social media sites, offering psychological and emotional risks, especially to youngsters. Many studies have addressed cyberbullying in English, but not in Arabic, especially the Egyptian dialect.
Eman Hassan Elnashar +2 more
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Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning
This work presents a novel framework for training Arabic nested embedding models through Matryoshka Embedding Learning, leveraging multilingual, Arabic-specific, and English-based models, to highlight the power of nested embeddings models in various Arabic NLP downstream tasks.
Omer Nacar, Anis Koubaa
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Arabic Abstractive Text Summarization Using an Ant Colony System
MathematicsArabic abstractive summarization presents a complex multi-objective optimization challenge, balancing readability, informativeness, and conciseness.
Amal M. Al-Numai, Aqil M. Azmi
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SAGE OpenThis study explores the intricate use of similes within Al-’Abrat (“The Tears”) by Mustafa Lutfi al-Manfaluti, a cornerstone of modern Arabic literature.
Rasha Talal Al Zahrawi +3 more
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