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@@ -30,7 +30,7 @@ It achieves the following results on the evaluation set:
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  - Wordacc: 0.9546
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  - Wordacc Oov: 0.9096
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- Note: This model is part of a larger system, which uses an additional GPT-based model to disambiguate different normalization forms by taking in the full context.
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  ## Training and evaluation data
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  - Wordacc: 0.9546
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  - Wordacc Oov: 0.9096
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+ Note: This model is part of a larger system, which uses an additional GPT-based model to disambiguate different normalization forms by taking in the full context. See <https://github.com/aehrm/hybrid_textnorm>.
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  ## Training and evaluation data
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