I have a problem of detecting code-switched spans in text. These are often named entities, but could also be phrases. I've considered some various approaches. One would be to simply use the default spaCy NER model followed by text classification, while another would be to train a NER with language as labels. In any case, I wonder how effective the neural networks in Prodigy are at capturing subword information, for example presence and order of certain characters which is highly language-discriminative. Hope you have some thoughts, as I'd love to use this tool to speed up my work!