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Model
For each word in the input text, the model: predicts a punctuation mark that should follow the word (if any).
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| 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 |