Mahta Fetrat
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README.md
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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. | 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. | ||||
| ## Code | ## Code | ||||
| The code for the experiments and tools described in the paper is provided in this repository. | |||||
| 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). | |||||
| ## Additional Resources | ## Additional Resources |
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