Sign in to access this content
Model
For each word in the input text, the model: 1) predicts a punctuation mark that should follow the word (if any), the model supports commas, periods and question marks) and 2) predicts if the word should be capitalized or not.
Sign in to access this content
| Field | Response |
|---|---|
| Intended Applications & Domains: | Punctuation and Capitalization |
| Types: | BERT-base |
| Intended Users: | Data Scientists in Contact Center Transcription, Video Conferencing Transcription, Virtual Assistants, etc |
| Output: | Text with Punctuations and capitalizations |
| Describe how the model works: | Model adds Punctuations and Capitalizations to input text for the input language |
| Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of: | Not applicable |
| Technical Limitations: | Outputs may not be 100% accurate. Model can only capitalize first character of words |
| Verified to have met prescribed NVIDIA quality standards: | Yes |
| Performance Metrics: | Accuracy and F1 scores |
| Potential Known Risks: | Not recommended for word-for-word/incomplete sentences as accuracy varies based on the context of input text |
| Licensing: | https://developer.nvidia.com/riva/ga/license |