metadata
pipeline_tag: token-classification
language:
- pl
widget:
- text: Rozległo się głośne buuum.
example_title: Example 1
- text: Ćwir, ćwir, śpiewały ptaki.
example_title: Example 2
- text: 'Dzbanek spadł na podłogę: trrrrach!'
example_title: Example 3
HerBERT Polish Onomatopoeia Recognition
This model is a finetuned HerBERT large model (cased) on a sample of 800 manually sentences containing onomatopoeia from the Mirosław Bańko's Współczesny polski onomatopeikon: ikoniczność w języku (Bańko, 2008). The model allows to detect onomatopoeia in the form of interjections in any given text.
Model Details
Model Description
- Developed by Szymon Pindur, Jagiellonian University in Krakow
- Model type Token classification
- Language(s) (NLP) Polish
- Finetuned from model [optional] herbert-large-cased