Arabic Corpus

Arabic corpora are collections of digital Arabic text used to train and evaluate natural language processing (NLP) models. Current research focuses on creating larger, higher-quality corpora encompassing diverse dialects and domains, including specialized areas like mental healthcare and religious texts, and employing techniques like data augmentation and domain adaptation to improve model performance. This work is crucial for advancing Arabic NLP, enabling the development of improved machine translation, text simplification tools, and question-answering systems, ultimately impacting various applications from education to healthcare. The use of pre-trained transformer models like BERT is prevalent, with ongoing efforts to enhance their performance through larger datasets and refined training methodologies.