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---
license: cc-by-sa-4.0
language:
- en
size_categories:
- 1M<n<10M
tags:
- text normalization
- inverse text normalization
---
This is a vocabulary of (semiotic_class, normalized, non-normalized, freq) tuples from [Google Text Normalization Dataset](https://www.kaggle.com/datasets/richardwilliamsproat/text-normalization-for-english-russian-and-polish).
It was generated using [this script](https://github.com/NVIDIA/NeMo/blob/main/examples/nlp/text_normalization_as_tagging/evaluation/get_multi_reference_vocab.py).
It can be used to perform fast text normalization, see example in this [script](https://github.com/bene-ges/nemo_compatible/blob/main/scripts/nlp/en_spellmapper/dataset_preparation/normalize_by_gtn_vocab.py)
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