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bert-onomatopoeia-recognition
szymonpindur/bert-onomatopoeia-recognition
bert-onomatopoeia-recognition is a token classification model from szymonpindur. Use it when you need labels on individual words, such as names. It is set up for transformers.
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 on…
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Apr 17, 2023
- Updated
- Jul 19, 2023
- SHA
- ff577ea4
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Model card
From the Hugging Face model README
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)
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Apr 17, 2023
- Updated
- Jul 19, 2023