 anglicisms-spanish-flair-cs  This is a pretrained model for detecting unassimilated English lexical borrowings (a.k.a. anglicisms) on Spanish newswire. This model labels words of foreign origin (fundamentally from English) used in Spanish language, words such as *fake news*, *machine learning*, *smartwatch*, *influencer* or *streaming*.  The model is a BiLSTM-CRF model fed with [Transformer-based embeddings pretrained on codeswitched data](https://huggingface.co/sagorsarker/codeswitch-spaeng-lid-lince) along subword embeddings (BPE and character embeddings). The model was trained on the [COALAS](https://github.com/lirondos/coalas/) corpus for the task of detecting lexical borrowings.  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.  **⚠ There is another [mBERT -based model](https://huggingface.co/lirondos/anglicisms-spanish-mbert) for this same task trained using the ``Transformers`` library**. That model however produced worse results than this Flair-based model (F1 = 83.55).     