Important

You are viewing the NeMo 2.0 documentation. This release introduces significant changes to the API and a new library, NeMo Run. We are currently porting all features from NeMo 1.0 to 2.0. For documentation on previous versions or features not yet available in 2.0, please refer to the NeMo 24.07 documentation.

(Inverse) Text Normalization

NeMo supports Text Normalization (TN) and Inverse Text Normalization (ITN) tasks via rule-based nemo_text_processing python package and Neural-based TN/ITN models.

Rule-based (WFST) TN/ITN:

• WFST-based (Inverse) Text Normalization
  • Text (Inverse) Normalization
  • Grammar customization
  • Deploy to Production with C++ backend
  • Resources and Documentation

Neural-based TN/ITN:

• Neural Models for (Inverse) Text Normalization
  • Neural Text Normalization Models
  • Thutmose Tagger: Single-pass Tagger-based ITN Model