BERT Onomatopoeia Recognition
This model is a finetuned BERT large model (cased) on a sample of 18 000 manually filtered sentences containing onomatopoeia from the British National Corpus (http://bncweb.lancs.ac.uk/). The model allows to detect onomatopoeia in the form of interjections, nouns, and verbs in any given text.
Model Details
Model Description
- Developed by Szymon Pindur, Jagiellonian University in Krakow
- Model type Token classification
- Language(s) (NLP) English
- Finetuned from model [optional] bert-large-cased (https://huggingface.co/bert-large-cased)