metadata
language:
- id
tags:
- punctuation prediction
- punctuation
widget:
- text: halo bagaimana kabarmu
example_title: indonesian
This model predicts the punctuation of Indonesian languange. It has been created to restore punctuation of transcribed from speech recognition models. This model Based on the work https://github.com/oliverguhr/fullstop-deep-punctuation-prediction
The model restores the following punctuation markers: "." "," "?" "-" ":"
Install
To get started install the package from pypi:
pip install deepmultilingualpunctuation
Restore Punctuation
from deepmultilingualpunctuation import PunctuationModel
model = PunctuationModel("Rizkinoor16/fullstop-indonesian-punctuation-prediction")
text = "halo bagaimana kabarmu"
result = model.restore_punctuation(text)
print(result)
Results
precision recall f1-score support
0 0.98 0.99 0.98 38057720
. 0.89 0.91 0.90 2234980
, 0.84 0.79 0.81 3037655
? 0.84 0.79 0.82 72969
- 0.96 0.90 0.93 162085
: 0.91 0.89 0.90 191937
accuracy 0.97 43757346
macro avg 0.90 0.88 0.89 43757346
weighted avg 0.97 0.97 0.97 43757346
Contact
Rizki Noor rizki@cakra.ai
Linkedin : Noor Muhamad Rizki