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Lu Xinlong
2025-09-04 11:13:27 +08:00
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# Text Normalization
Text Normalization is part of NeMo's `nemo_text_processing` - a Python package that is installed with the `nemo_toolkit`.
It converts text from written form into its verbalized form, e.g. "123" -> "one hundred twenty three".
See [NeMo documentation](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/text_normalization/wfst/wfst_text_normalization.html) for details.
Tutorial with overview of the package capabilities: [Text_(Inverse)_Normalization.ipynb](https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/text_processing/Text_(Inverse)_Normalization.ipynb)
Tutorial on how to customize the underlying gramamrs: [WFST_Tutorial.ipynb](https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/text_processing/WFST_Tutorial.ipynb)