---
language:
- en
- si
base_model:
- facebook/m2m100_418M
pipeline_tag: translation
library_name: transformers
license: mit
---

- This is the trained model of the seq2seq approach of our Sinhala Transliteration solution that was submitted to the [Shared Task of IndoNLPWorkshop 2025 @COLING2025](https://indonlp-workshop.github.io/IndoNLP-Workshop/sharedTask/).
- The official codebase can be accessed from https://github.com/kasunw22/Sinhala-Transliterator
- Please be kind enough to cite our [paper](https://arxiv.org/abs/2501.00529) and don't hesitate to rate our original [repository](https://github.com/kasunw22/Sinhala-Transliterator)

```
@article{de2024sinhala,
  title={Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq Approaches},
  author={De Mel, Yomal and Wickramasinghe, Kasun and de Silva, Nisansa and Ranathunga, Surangika},
  journal={arXiv preprint arXiv:2501.00529},
  year={2024}
}
```