
This model predicts the punctuation of Catalan language.

The model restores the following punctuation markers: **"." "," "?" "-" ":"**

Based on the work https://github.com/oliverguhr/fullstop-deep-punctuation-prediction

## Results

The performance differs for the single punctuation markers as hyphens and colons, in many cases, are optional and can be substituted by either a comma or a full stop. The model achieves the following F1 scores for Catalan language:

| Label         | CA    |
| ------------- | ----- |
| 0             | 0.99 |
| .             | 0.93 |
| ,             | 0.82 |
| ?             | 0.76 |
| -             | 0.89 |
| :             | 0.64 |
| macro average | 0.84 |

## Contact

Jordi Mas <jmas@softcatala.org>


{"language": ["ca"], "tags": ["punctuation prediction", "punctuation"], "datasets": "softcatala/Europarl-catalan", "metrics": ["f1"], "widget": [{"text": "Els investigadors suggereixen que tot i que es tracta de la cua d'un dinosaure jove la mostra revela un plomatge adult i no pas plomissol", "example_title": "Catalan"}]}
transformers pytorch roberta token-classification punctuation prediction punctuation ca dataset:softcatala/Europarl-catalan autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #token-classification #punctuation prediction #punctuation #ca #dataset-softcatala/Europarl-catalan #autotrain_compatible #endpoints_compatible #region-us 

This model predicts the punctuation of Catalan language.


The model restores the following punctuation markers: "." "," "?" "-" ":"


Based on the work URL


Results
-------


The performance differs for the single punctuation markers as hyphens and colons, in many cases, are optional and can be substituted by either a comma or a full stop. The model achieves the following F1 scores for Catalan language:



Contact
-------


Jordi Mas [jmas@URL](mailto:jmas@URL)



TAGS
#transformers #pytorch #roberta #token-classification #punctuation prediction #punctuation #ca #dataset-softcatala/Europarl-catalan #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #roberta #token-classification #punctuation prediction #punctuation #ca #dataset-softcatala/Europarl-catalan #autotrain_compatible #endpoints_compatible #region-us 
