arat5

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ibtissam01 / News-Text-Summarization

The News Text Summarization project aims to develop a platform that automatically generates concise and accurate summaries of Al Jazeera articles. By utilizing web scraping and advanced models like T5, BART, and PEGASUS, we explore translation and fine-tuning approaches to produce summaries in the target language. Our goal is to provide users with

flask beautifulsoup pegasus webscraping bert fine-tuning t5 arat5

Updated Jan 11, 2024
Jupyter Notebook

fatmaserry / SummARai

Star

SummARai (Summarizing Arabic with AI) is an innovative web-based platform designed to automatically generate high-quality summaries for Arabic books and documents using advanced AI technologies.

mysql spring-boot reactjs transformers arabic arabic-nlp graph-based-model fastapi book-summary summari long-document-summarization arat5

Updated Jul 20, 2025
Java

Ali-Daher1 / arabic-ocr-correction-benchmark

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Benchmark of five models for Arabic post-OCR correction - a fine-tuned AraFix reaches 0.065 CER.

machine-learning ocr transformers arabic-nlp qlora arat5 post-ocr-correction

Updated Jul 18, 2026
Jupyter Notebook

Mohammed2372 / Arabic-Question-Generation

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Generating Arabic Questions using Arabic-Squad data with AraT5 model

nlp arabic question-generation nlp-preprocessing arat5

Updated Jul 18, 2025
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