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Clasificador_anglicismos
Trockti/Clasificador_anglicismos
Clasificador_anglicismos is a token classification model from Trockti. Use it when you need labels on individual words, such as names. The card lists the license as apache-2.0.
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 a…
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At a glance
- Task
- Token Classification
- License
- apache-2.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- Feb 24, 2026
- Updated
- Feb 24, 2026
- SHA
- a9262806
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Base models
Model card
From the Hugging Face model README
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.
- Task
- Token Classification
- Type
- xlm-roberta
- License
- apache-2.0
- Languages
- es
- Created
- Feb 24, 2026
- Updated
- Feb 24, 2026