# 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)

{"language": ["en"], "pipeline_tag": "token-classification", "widget": [{"text": "Suddenly without any warning he trotted splash into water!", "example_title": "Example 1"}, {"text": "There was a loud bang followed by a whirr.", "example_title": "Example 2"}, {"text": "The great door creaked.", "example_title": "Example 3"}]}
transformers pytorch bert token-classification en autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #en #autotrain_compatible #endpoints_compatible #region-us 

# 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 (URL
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 (URL

# 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 (URL
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 (URL
TAGS
#transformers #pytorch #bert #token-classification #en #autotrain_compatible #endpoints_compatible #region-us 
 # 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 (URL
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 (URL
TAGS
#transformers #pytorch #bert #token-classification #en #autotrain_compatible #endpoints_compatible #region-us 
# 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 (URL
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 (URL