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add paper citation to README

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@@ -11,4 +11,13 @@ license: mit
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  - 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/).
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  - The official codebase can be accessed from https://github.com/kasunw22/Sinhala-Transliterator
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- - Please be kind enough to cite our [paper](https://github.com/kasunw22/Sinhala-Transliterator) and don't hesitate to rate our original [repository](https://github.com/kasunw22/Sinhala-Transliterator)
 
 
 
 
 
 
 
 
 
 
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  - 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/).
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  - The official codebase can be accessed from https://github.com/kasunw22/Sinhala-Transliterator
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+ - 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)
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+
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+ ```
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+ @article{de2024sinhala,
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+ title={Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq Approaches},
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+ author={De Mel, Yomal and Wickramasinghe, Kasun and de Silva, Nisansa and Ranathunga, Surangika},
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+ journal={arXiv preprint arXiv:2501.00529},
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+ year={2024}
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+ }
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+ ```