<ul><li>ModernAraBERT is a bilingual Arabic-English transformer model created by the Data Science Team at Giza Systems to enhance cross-lingual understanding.</li><li>The motivation behind developing ModernAraBERT was the need for a model that excelled in Arabic-specific tasks and could compete with well-known Arabic NLP models like AraBERT.</li><li>The model addresses the issues of vocabulary fragmentation and code-switching by incorporating a mix of formal Arabic, dialects, and English texts in its training data.</li><li>Utilizing FarasaPy for Arabic segmentation and token-level data augmentation, ModernAraBERT demonstrated strong performance in both monolingual and code-switched contexts.</li></ul>

Introducing ModernAraBERT: A Bilingual Leap in Arabic-English NLP

Discover more