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  # g2pW-canto-20241206-bert-base
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- This is a **G2P (Grapheme-to-Phoneme)** model trained on the [Naozumi0512/g2p-Cantonese-aggregate](https://huggingface.co/datasets/Naozumi0512/g2p-Cantonese-aggregate-pos-retag) dataset and evaluated on the [yue-g2p-benchmark](https://github.com/hon9kon9ize/yue-g2p-benchmark).
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  ## Model Overview
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  ## Dataset
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- The model was trained on the [Naozumi0512/g2p-Cantonese-aggregate](https://huggingface.co/datasets/Naozumi0512/g2p-Cantonese-aggregate-pos-retag) dataset, which includes:
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  - **68,500 Cantonese words/phrases** with corresponding phonetic transcriptions.
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  - Data is formatted to align with the **CPP (Chinese Polyphones with Pinyin)** structure.
 
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  # g2pW-canto-20241206-bert-base
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+ This is a **G2P (Grapheme-to-Phoneme)** model trained on the [Naozumi0512/g2p-Cantonese-aggregate-pos-retag](https://huggingface.co/datasets/Naozumi0512/g2p-Cantonese-aggregate-pos-retag) dataset and evaluated on the [yue-g2p-benchmark](https://github.com/hon9kon9ize/yue-g2p-benchmark).
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  ## Model Overview
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  ## Dataset
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+ The model was trained on the [Naozumi0512/g2p-Cantonese-aggregate-pos-retag](https://huggingface.co/datasets/Naozumi0512/g2p-Cantonese-aggregate-pos-retag) dataset, which includes:
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  - **68,500 Cantonese words/phrases** with corresponding phonetic transcriptions.
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  - Data is formatted to align with the **CPP (Chinese Polyphones with Pinyin)** structure.