In recent years, global research on artificial intelligence (AI) and machine learning has grown exponentially, offering computational linguistics and natural language processing (NLP) a place of relevance in the academic curriculum of different disciplines and fields, such as Digital Humanities. Nonetheless, the North-South imbalance in this field is evident. Most NLP research is still mainly done in English and it takes a lot of time sometimes to make these resources available in Spanish. Although the field of AI goes beyond the horizon of humanistic work, it is evident that language models have many applications with an immediate impact on the humanities and digital humanities. They can improve the outputs of systems for optical character recognition (OCR), stylometric techniques and attribution of authorship. I explore these topics in the article.