--- 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} } ```