Spanish Language Model

Research on Spanish language models focuses on developing and improving natural language processing (NLP) capabilities for the Spanish language, addressing the scarcity of resources compared to English. Current efforts concentrate on adapting existing architectures like BERT, RoBERTa, and encoder-decoder models (e.g., BART, T5) to the Spanish language, exploring techniques like knowledge distillation and model compression to create efficient, smaller models suitable for resource-constrained environments. These advancements are significant for expanding NLP applications in Spanish-speaking communities and providing valuable resources for researchers to benchmark and compare different model approaches.