Brazilian Portuguese

Brazilian Portuguese (BP) is a vibrant language with a growing body of research focused on developing and adapting natural language processing (NLP) tools. Current research emphasizes building and evaluating large language models (LLMs) for BP, often leveraging architectures like BERT and Transformer networks, and applying them to tasks such as machine translation, event extraction, and hate speech detection. This work addresses the relative scarcity of resources for BP compared to English, aiming to improve NLP capabilities for this language and fostering broader access to technology in Portuguese-speaking communities. The development of high-quality corpora and benchmarks is also a key focus, enabling more robust model training and evaluation.