| | --- |
| | 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 |
| |
|
| |
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| | This model is a finetuned HerBERT large model (cased) on a sample of 800 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 |
