Democratizing Spanish NLP: Language Models and Benchmarks
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In recent years, the field of Natural Language Processing (NLP) has witnessed significant advancements, particularly in the development of pre-trained language models. While English has been at the forefront of these developments, there has been a growing need to extend these advancements to other languages, including Spanish. Addressing this gap, our research focuses on creating and evaluating Spanish language models and resources that are not only effective but also accessible to a broader community. This blog post delves into our efforts in developing lightweight models, establishing evaluation benchmarks, and introducing sequence-to-sequence models tailored for the Spanish language.