This is a pretrained model based on a xlm-roberta model, trained for detecting borrowings on spanish texts. This model labels words of foreign origin (fundamentally from English) used in Spanish language, words such as fake news, machine learning, parking, influencer or streaming.
ENG: For English lexical borrowings (smartphone, online, podcast)
OTHER: For lexical borrowings from any other language (boutique, anime, umami)
The model uses BIO encoding to account for multitoken borrowings.
This model was trained on
COALAS, a corpus of Spanish newswire annotated with unassimilated lexical borrowings. The corpus contains 370,000 tokens and includes various written media written in European Spanish.
