Trockti/Clasificador_anglicismos

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.

The model considers two labels:

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.

Dataset

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.