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Our results demonstrate that LLM-based G2P systems can outperform traditional tools, especially in handling homographs and context-sensitive phonemes, highlighting their potential for underrepresented languages like Persian. |
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## Code |
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The code for the experiments and tools described in the paper is provided in this repository. |
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The code for the experiments and tools described in the paper is provided in this repository and is accessible in this [colab link](https://colab.research.google.com/drive/1FgWUGkMjnnM4w9jUpZSRuwQlGnqXAhEW?usp=sharing). |
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## Additional Resources |