Continuous Spanish

Research on Continuous Spanish focuses on developing and evaluating natural language processing (NLP) models for the Spanish language, addressing its diverse dialects and registers. Current efforts concentrate on creating large-scale datasets for various tasks, including information retrieval, machine translation, and question answering, often employing transformer-based architectures like BERT and RoBERTa. This work is crucial for bridging the language gap in NLP, improving access to information and technology for Spanish speakers, and advancing the understanding of multilingual NLP challenges.