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--- |
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language: |
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- id |
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tags: |
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- punctuation prediction |
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- punctuation |
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widget: |
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- text: halo bagaimana kabarmu |
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example_title: indonesian |
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license: mit |
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--- |
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This model predicts the punctuation of Indonesian languange. It has been created to restore punctuation of transcribed from speech recognition models. |
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This model Based on the work https://github.com/oliverguhr/fullstop-deep-punctuation-prediction |
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The model restores the following punctuation markers: **"." "," "?" "-" ":"** |
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**Github** : https://github.com/CakraAIPub/Fullstop-indonesian-punctuation-prediction |
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## Install |
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To get started install the package from [pypi](https://pypi.org/project/deepmultilingualpunctuation/): |
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```bash |
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pip install deepmultilingualpunctuation |
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``` |
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### Restore Punctuation |
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```python |
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from deepmultilingualpunctuation import PunctuationModel |
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model = PunctuationModel("Rizkinoor16/fullstop-indonesian-punctuation-prediction") |
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text = "halo bagaimana kabarmu" |
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result = model.restore_punctuation(text) |
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print(result) |
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``` |
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**output** |
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> halo, bagaimana kabarmu? |
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## Results |
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``` |
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precision recall f1-score support |
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0 0.98 0.99 0.98 |
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. 0.89 0.91 0.90 |
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, 0.84 0.79 0.81 |
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? 0.84 0.79 0.82 |
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- 0.96 0.90 0.93 |
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: 0.91 0.89 0.90 |
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accuracy 0.97 |
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macro avg 0.90 0.88 0.89 |
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weighted avg 0.97 0.97 0.97 |
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``` |
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## Contact |
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Rizki Noor <rizki@cakra.ai> |
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**Linkedin** : [Noor Muhamad Rizki](https://www.linkedin.com/in/noor-muhamad-rizki-114600231/) |
