File size: 1,462 Bytes
262f114 5dc2037 a591317 5dc2037 c24c1ec 262f114 5dc2037 53e4462 5dc2037 9a7f76f 1deb0d4 f8a4f47 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 |
---
license: cc-by-sa-4.0
datasets:
- cjvt/cc_gigafida
- cjvt/solar3
- cjvt/sloleks
language:
- sl
tags:
- word shape correction
---
---
language:
- sl
license: cc-by-sa-4.0
---
# T5-slo-word-shape-corrector
This T5 model is designed to identify and correct words with incorrect shapes.
## Model Output Example
Imagine we have the following Slovenian text:
_Model v besedilu popravljaj besede, ki imeti nepravilno obliko._
The model might return the following text (note: predictions chosen for demonstration/explanation, not reproducibility!):
_Model v besedilu popravlja besede, ki imajo nepravilno obliko._
We observe that in the input sentence, the words `popravljaj` and `imeti` are written with incorrect gender and inclination based on the context. Our model corrects them to `popravlja` and `imajo`.
## More details
Testing the model with **generated** test sets provides the following result (combining detection and correction of words with incorrect shapes):
- `Precission`: 0,911
- `Recall`:0,811
- `F1`: 0,858
## Acknowledgement
The authors acknowledge the financial support from the Slovenian Research and Innovation Agency - research core funding No. P6-0411: Language Resources and Technologies for Slovene and research project No. J7-3159: Empirical foundations for digitally-supported development of writing skills.
## Authors
Thanks to Martin Božič, Marko Robnik-Šikonja and Špela Arhar Holdt for developing these models. |